Package evaluation of PowerModelsDistributionStateEstimation on Julia 1.11.4 (a71dd056e0*) started at 2025-04-08T18:44:53.389 ################################################################################ # Set-up # Installing PkgEval dependencies (TestEnv)... Set-up completed after 8.9s ################################################################################ # Installation # Installing PowerModelsDistributionStateEstimation... Resolving package versions... Updating `~/.julia/environments/v1.11/Project.toml` [d0713e65] + PowerModelsDistributionStateEstimation v0.8.0 Updating `~/.julia/environments/v1.11/Manifest.toml` [47edcb42] + ADTypes v1.14.0 [79e6a3ab] + Adapt v4.3.0 [66dad0bd] + AliasTables v1.1.3 [4fba245c] + ArrayInterface v7.18.0 [6e4b80f9] + BenchmarkTools v1.6.0 [336ed68f] + CSV v0.10.15 [d360d2e6] + ChainRulesCore v1.25.1 [523fee87] + CodecBzip2 v0.8.5 [944b1d66] + CodecZlib v0.7.8 [bbf7d656] + CommonSubexpressions v0.3.1 [34da2185] + Compat v4.16.0 [187b0558] + ConstructionBase v1.5.8 [a8cc5b0e] + Crayons v4.1.1 [9a962f9c] + DataAPI v1.16.0 [a93c6f00] + DataFrames v1.7.0 [864edb3b] + DataStructures v0.18.22 [e2d170a0] + DataValueInterfaces v1.0.0 [163ba53b] + DiffResults v1.1.0 [b552c78f] + DiffRules v1.15.1 [a0c0ee7d] + DifferentiationInterface v0.6.50 [31c24e10] + Distributions v0.25.118 [ffbed154] + DocStringExtensions v0.9.4 [4e289a0a] + EnumX v1.0.5 ⌅ [8fc22ac5] + FilePaths v0.8.3 [48062228] + FilePathsBase v0.9.24 [1a297f60] + FillArrays v1.13.0 [6a86dc24] + FiniteDiff v2.27.0 ⌅ [f6369f11] + ForwardDiff v0.10.38 [c27321d9] + Glob v1.3.1 [34004b35] + HypergeometricFunctions v0.3.28 [2030c09a] + InfrastructureModels v0.7.8 [842dd82b] + InlineStrings v1.4.3 [41ab1584] + InvertedIndices v1.3.1 ⌅ [92d709cd] + IrrationalConstants v0.1.1 [82899510] + IteratorInterfaceExtensions v1.0.0 [692b3bcd] + JLLWrappers v1.7.0 [682c06a0] + JSON v0.21.4 [0f8b85d8] + JSON3 v1.14.2 [4076af6c] + JuMP v1.25.0 [b964fa9f] + LaTeXStrings v1.4.0 [d3d80556] + LineSearches v7.3.0 [2ab3a3ac] + LogExpFunctions v0.3.29 ⌅ [e6f89c97] + LoggingExtras v0.4.9 [1914dd2f] + MacroTools v0.5.15 [b8f27783] + MathOptInterface v1.38.1 [f28f55f0] + Memento v1.4.1 [e1d29d7a] + Missings v1.2.0 [d8a4904e] + MutableArithmetics v1.6.4 [d41bc354] + NLSolversBase v7.9.1 [77ba4419] + NaNMath v1.1.3 [429524aa] + Optim v1.12.0 [bac558e1] + OrderedCollections v1.8.0 [90014a1f] + PDMats v0.11.33 [d96e819e] + Parameters v0.12.3 [69de0a69] + Parsers v2.8.1 [2e741578] + PolyhedralRelaxations v0.3.5 ⌅ [f27b6e38] + Polynomials v3.2.13 [2dfb63ee] + PooledArrays v1.4.3 [85a6dd25] + PositiveFactorizations v0.2.4 ⌅ [d7431456] + PowerModelsDistribution v0.14.5 [d0713e65] + PowerModelsDistributionStateEstimation v0.8.0 ⌅ [aea7be01] + PrecompileTools v1.2.1 [21216c6a] + Preferences v1.4.3 [08abe8d2] + PrettyTables v2.4.0 [43287f4e] + PtrArrays v1.3.0 [1fd47b50] + QuadGK v2.11.2 [3cdcf5f2] + RecipesBase v1.3.4 [189a3867] + Reexport v1.2.2 [ae029012] + Requires v1.3.1 [79098fc4] + Rmath v0.8.0 [91c51154] + SentinelArrays v1.4.8 [efcf1570] + Setfield v1.1.2 [a2af1166] + SortingAlgorithms v1.2.1 ⌅ [276daf66] + SpecialFunctions v1.8.8 [1e83bf80] + StaticArraysCore v1.4.3 [10745b16] + Statistics v1.11.1 [82ae8749] + StatsAPI v1.7.0 [2913bbd2] + StatsBase v0.34.4 [4c63d2b9] + StatsFuns v1.4.0 [892a3eda] + StringManipulation v0.4.1 [856f2bd8] + StructTypes v1.11.0 [3783bdb8] + TableTraits v1.0.1 [bd369af6] + Tables v1.12.0 [3bb67fe8] + TranscodingStreams v0.11.3 [3a884ed6] + UnPack v1.0.2 [ea10d353] + WeakRefStrings v1.4.2 [76eceee3] + WorkerUtilities v1.6.1 [6e34b625] + Bzip2_jll v1.0.9+0 [efe28fd5] + OpenSpecFun_jll v0.5.6+0 [f50d1b31] + Rmath_jll v0.5.1+0 [56f22d72] + Artifacts v1.11.0 [2a0f44e3] + Base64 v1.11.0 [ade2ca70] + Dates v1.11.0 [8ba89e20] + Distributed v1.11.0 [9fa8497b] + Future v1.11.0 [b77e0a4c] + InteractiveUtils v1.11.0 [8f399da3] + Libdl v1.11.0 [37e2e46d] + LinearAlgebra v1.11.0 [56ddb016] + Logging v1.11.0 [d6f4376e] + Markdown v1.11.0 [a63ad114] + Mmap v1.11.0 [de0858da] + Printf v1.11.0 [9abbd945] + Profile v1.11.0 [9a3f8284] + Random v1.11.0 [ea8e919c] + SHA v0.7.0 [9e88b42a] + Serialization v1.11.0 [6462fe0b] + Sockets v1.11.0 [2f01184e] + SparseArrays v1.11.0 [4607b0f0] + SuiteSparse [fa267f1f] + TOML v1.0.3 [8dfed614] + Test v1.11.0 [cf7118a7] + UUIDs v1.11.0 [4ec0a83e] + Unicode v1.11.0 [e66e0078] + CompilerSupportLibraries_jll v1.1.1+0 [4536629a] + OpenBLAS_jll v0.3.27+1 [05823500] + OpenLibm_jll v0.8.5+0 [bea87d4a] + SuiteSparse_jll v7.7.0+0 [83775a58] + Zlib_jll v1.2.13+1 [8e850b90] + libblastrampoline_jll v5.11.0+0 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use `status --outdated -m` Installation completed after 6.13s ################################################################################ # Precompilation # Precompiling PkgEval dependencies... Precompiling package dependencies... Precompilation completed after 858.25s ################################################################################ # Testing # Testing PowerModelsDistributionStateEstimation Status `/tmp/jl_Irryp3/Project.toml` [336ed68f] CSV v0.10.15 [a93c6f00] DataFrames v1.7.0 [31c24e10] Distributions v0.25.118 ⌅ [f6369f11] ForwardDiff v0.10.38 [f67ccb44] HDF5 v0.17.2 [2030c09a] InfrastructureModels v0.7.8 [b6b21f68] Ipopt v1.8.0 [682c06a0] JSON v0.21.4 [4076af6c] JuMP v1.25.0 ⌅ [e6f89c97] LoggingExtras v0.4.9 [429524aa] Optim v1.12.0 ⌅ [f27b6e38] Polynomials v3.2.13 [c36e90e8] PowerModels v0.21.3 ⌅ [d7431456] PowerModelsDistribution v0.14.5 [d0713e65] PowerModelsDistributionStateEstimation v0.8.0 [1bc83da4] SafeTestsets v0.1.0 ⌅ [276daf66] SpecialFunctions v1.8.8 [10745b16] Statistics v1.11.1 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [9a3f8284] Random v1.11.0 [8dfed614] Test v1.11.0 Status `/tmp/jl_Irryp3/Manifest.toml` [47edcb42] ADTypes v1.14.0 [79e6a3ab] Adapt v4.3.0 [66dad0bd] AliasTables v1.1.3 [4fba245c] ArrayInterface v7.18.0 [6e4b80f9] BenchmarkTools v1.6.0 [336ed68f] CSV v0.10.15 [d360d2e6] ChainRulesCore v1.25.1 [523fee87] CodecBzip2 v0.8.5 [944b1d66] CodecZlib v0.7.8 [bbf7d656] CommonSubexpressions v0.3.1 [34da2185] Compat v4.16.0 [187b0558] ConstructionBase v1.5.8 [a8cc5b0e] Crayons v4.1.1 [9a962f9c] DataAPI v1.16.0 [a93c6f00] DataFrames v1.7.0 [864edb3b] DataStructures v0.18.22 [e2d170a0] DataValueInterfaces v1.0.0 [163ba53b] DiffResults v1.1.0 [b552c78f] DiffRules v1.15.1 [a0c0ee7d] DifferentiationInterface v0.6.50 [b4f34e82] Distances v0.10.12 [31c24e10] Distributions v0.25.118 [ffbed154] DocStringExtensions v0.9.4 [4e289a0a] EnumX v1.0.5 ⌅ [8fc22ac5] FilePaths v0.8.3 [48062228] FilePathsBase v0.9.24 [1a297f60] FillArrays v1.13.0 [6a86dc24] FiniteDiff v2.27.0 ⌅ [f6369f11] ForwardDiff v0.10.38 [c27321d9] Glob v1.3.1 [f67ccb44] HDF5 v0.17.2 [34004b35] HypergeometricFunctions v0.3.28 [2030c09a] InfrastructureModels v0.7.8 [842dd82b] InlineStrings v1.4.3 [41ab1584] InvertedIndices v1.3.1 [b6b21f68] Ipopt v1.8.0 ⌅ [92d709cd] IrrationalConstants v0.1.1 [82899510] IteratorInterfaceExtensions v1.0.0 [692b3bcd] JLLWrappers v1.7.0 [682c06a0] JSON v0.21.4 [0f8b85d8] JSON3 v1.14.2 [4076af6c] JuMP v1.25.0 [b964fa9f] LaTeXStrings v1.4.0 [d3d80556] LineSearches v7.3.0 [2ab3a3ac] LogExpFunctions v0.3.29 ⌅ [e6f89c97] LoggingExtras v0.4.9 [3da0fdf6] MPIPreferences v0.1.11 [1914dd2f] MacroTools v0.5.15 [b8f27783] MathOptInterface v1.38.1 [f28f55f0] Memento v1.4.1 [e1d29d7a] Missings v1.2.0 [d8a4904e] MutableArithmetics v1.6.4 [d41bc354] NLSolversBase v7.9.1 [2774e3e8] NLsolve v4.5.1 [77ba4419] NaNMath v1.1.3 [429524aa] Optim v1.12.0 [bac558e1] OrderedCollections v1.8.0 [90014a1f] PDMats v0.11.33 [d96e819e] Parameters v0.12.3 [69de0a69] Parsers v2.8.1 [2e741578] PolyhedralRelaxations v0.3.5 ⌅ [f27b6e38] Polynomials v3.2.13 [2dfb63ee] PooledArrays v1.4.3 [85a6dd25] PositiveFactorizations v0.2.4 [c36e90e8] PowerModels v0.21.3 ⌅ [d7431456] PowerModelsDistribution v0.14.5 [d0713e65] PowerModelsDistributionStateEstimation v0.8.0 ⌅ [aea7be01] PrecompileTools v1.2.1 [21216c6a] Preferences v1.4.3 [08abe8d2] PrettyTables v2.4.0 [43287f4e] PtrArrays v1.3.0 [1fd47b50] QuadGK v2.11.2 [3cdcf5f2] RecipesBase v1.3.4 [189a3867] Reexport v1.2.2 [ae029012] Requires v1.3.1 [79098fc4] Rmath v0.8.0 [1bc83da4] SafeTestsets v0.1.0 [91c51154] SentinelArrays v1.4.8 [efcf1570] Setfield v1.1.2 [a2af1166] SortingAlgorithms v1.2.1 ⌅ [276daf66] SpecialFunctions v1.8.8 [1e83bf80] StaticArraysCore v1.4.3 [10745b16] Statistics v1.11.1 [82ae8749] StatsAPI v1.7.0 [2913bbd2] StatsBase v0.34.4 [4c63d2b9] StatsFuns v1.4.0 [892a3eda] StringManipulation v0.4.1 [856f2bd8] StructTypes v1.11.0 [3783bdb8] TableTraits v1.0.1 [bd369af6] Tables v1.12.0 [3bb67fe8] TranscodingStreams v0.11.3 [3a884ed6] UnPack v1.0.2 [ea10d353] WeakRefStrings v1.4.2 [76eceee3] WorkerUtilities v1.6.1 [ae81ac8f] ASL_jll v0.1.3+0 [6e34b625] Bzip2_jll v1.0.9+0 [0234f1f7] HDF5_jll v1.14.6+0 [e33a78d0] Hwloc_jll v2.12.0+0 [9cc047cb] Ipopt_jll v300.1400.1700+0 [d00139f3] METIS_jll v5.1.3+0 [7cb0a576] MPICH_jll v4.3.0+1 [f1f71cc9] MPItrampoline_jll v5.5.3+0 [d7ed1dd3] MUMPS_seq_jll v500.700.301+0 [9237b28f] MicrosoftMPI_jll v10.1.4+3 [656ef2d0] OpenBLAS32_jll v0.3.29+0 [fe0851c0] OpenMPI_jll v5.0.7+2 [458c3c95] OpenSSL_jll v3.0.16+0 [efe28fd5] OpenSpecFun_jll v0.5.6+0 [f50d1b31] Rmath_jll v0.5.1+0 ⌅ [319450e9] SPRAL_jll v2024.5.8+0 [477f73a3] libaec_jll v1.1.3+0 [0dad84c5] ArgTools v1.1.2 [56f22d72] Artifacts v1.11.0 [2a0f44e3] Base64 v1.11.0 [ade2ca70] Dates v1.11.0 [8ba89e20] Distributed v1.11.0 [f43a241f] Downloads v1.6.0 [7b1f6079] FileWatching v1.11.0 [9fa8497b] Future v1.11.0 [b77e0a4c] InteractiveUtils v1.11.0 [4af54fe1] LazyArtifacts v1.11.0 [b27032c2] LibCURL v0.6.4 [76f85450] LibGit2 v1.11.0 [8f399da3] Libdl v1.11.0 [37e2e46d] LinearAlgebra v1.11.0 [56ddb016] Logging v1.11.0 [d6f4376e] Markdown v1.11.0 [a63ad114] Mmap v1.11.0 [ca575930] NetworkOptions v1.2.0 [44cfe95a] Pkg v1.11.0 [de0858da] Printf v1.11.0 [9abbd945] Profile v1.11.0 [9a3f8284] Random v1.11.0 [ea8e919c] SHA v0.7.0 [9e88b42a] Serialization v1.11.0 [6462fe0b] Sockets v1.11.0 [2f01184e] SparseArrays v1.11.0 [4607b0f0] SuiteSparse [fa267f1f] TOML v1.0.3 [a4e569a6] Tar v1.10.0 [8dfed614] Test v1.11.0 [cf7118a7] UUIDs v1.11.0 [4ec0a83e] Unicode v1.11.0 [e66e0078] CompilerSupportLibraries_jll v1.1.1+0 [deac9b47] LibCURL_jll v8.6.0+0 [e37daf67] LibGit2_jll v1.7.2+0 [29816b5a] LibSSH2_jll v1.11.0+1 [c8ffd9c3] MbedTLS_jll v2.28.6+0 [14a3606d] MozillaCACerts_jll v2023.12.12 [4536629a] OpenBLAS_jll v0.3.27+1 [05823500] OpenLibm_jll v0.8.5+0 [bea87d4a] SuiteSparse_jll v7.7.0+0 [83775a58] Zlib_jll v1.2.13+1 [8e850b90] libblastrampoline_jll v5.11.0+0 [8e850ede] nghttp2_jll v1.59.0+0 [3f19e933] p7zip_jll v17.4.0+2 Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. Testing Running tests... Precompiling Ipopt... 40240.6 ms ✓ Ipopt 1 dependency successfully precompiled in 42 seconds. 74 already precompiled. Precompiling PowerModels... 4581.5 ms ✓ NLsolve 33015.8 ms ✓ PowerModels 2 dependencies successfully precompiled in 40 seconds. 87 already precompiled. [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ****************************************************************************** This program contains Ipopt, a library for large-scale nonlinear optimization. Ipopt is released as open source code under the Eclipse Public License (EPL). For more information visit https://github.com/coin-or/Ipopt ****************************************************************************** ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 "No bad data detected by Chi-square test." "Chi-square test indicates presence of bad data." [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in 'case3_unbalanced.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 35 in 'case3_unbalanced.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 37 in 'case3_unbalanced.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in 'case3_unbalanced.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 35 in 'case3_unbalanced.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 37 in 'case3_unbalanced.dss' is not supported, skipping. ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in 'case3_unbalanced.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 35 in 'case3_unbalanced.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 37 in 'case3_unbalanced.dss' is not supported, skipping. ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in '3bus_3wire.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 37 in '3bus_3wire.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 39 in '3bus_3wire.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 431 Number of nonzeros in inequality constraint Jacobian.: 177 Number of nonzeros in Lagrangian Hessian.............: 138 Total number of variables............................: 102 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 81 Total number of inequality constraints...............: 36 inequality constraints with only lower bounds: 14 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.99e-02 1.03e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.8342502e-02 6.30e-03 3.60e+00 -1.0 1.11e-01 -4.0 1.00e+00 6.61e-01h 1 2 2.2482465e-02 4.87e-03 1.89e+01 -1.0 6.02e-02 -4.5 1.00e+00 4.37e-01h 1 3 2.5643399e-02 1.44e-03 2.91e+01 -1.0 1.45e-02 -5.0 1.00e+00 5.95e-01h 1 4 2.6912166e-02 7.97e-04 6.59e+01 -1.0 1.20e-02 -5.4 1.00e+00 5.88e-01h 1 5 2.7430900e-02 2.46e-04 1.60e+02 -1.0 2.38e-03 -5.9 1.00e+00 5.84e-01h 1 6 2.7647736e-02 1.37e-04 3.82e+02 -1.0 2.05e-03 -6.4 1.00e+00 5.86e-01h 1 7 2.7737134e-02 4.22e-05 9.26e+02 -1.0 4.09e-04 -6.9 1.00e+00 5.86e-01h 1 8 2.7774266e-02 2.34e-05 2.23e+03 -1.0 3.52e-04 -7.3 1.00e+00 5.86e-01h 1 9 2.7789617e-02 7.22e-06 5.38e+03 -1.0 7.02e-05 -7.8 1.00e+00 5.86e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 2.7792802e-02 5.10e-06 2.21e+04 -1.0 6.02e-05 -8.3 1.00e+00 2.93e-01f 2 11 2.7798969e-02 1.33e-06 1.15e+04 -1.0 3.50e-05 -8.8 1.00e+00 8.04e-01h 1 12 2.7799325e-02 8.62e-07 1.49e+05 -1.0 3.27e-06 -9.2 1.00e+00 2.38e-01f 2 13 2.7800291e-02 1.17e-07 5.93e+04 -1.0 4.33e-06 -9.7 1.00e+00 8.46e-01h 1 14 2.7800331e-02 9.10e-08 1.09e+06 -1.0 1.16e-06 -10.2 1.00e+00 2.25e-01f 2 15 2.7800467e-02 3.25e-10 9.23e+03 -1.0 6.00e-07 -10.7 1.00e+00 9.96e-01h 1 16 2.7800467e-02 2.18e-10 6.09e+06 -1.0 5.04e-08 -11.2 1.00e+00 3.29e-01f 2 17 2.7800468e-02 9.37e-17 1.76e-03 -1.0 2.48e-09 -11.6 1.00e+00 1.00e+00h 1 18 2.7800468e-02 4.44e-16 1.27e+07 -8.6 1.59e-11 -12.1 1.00e+00 1.53e-05h 17 19 2.7800468e-02 1.11e-16 1.70e-04 -8.6 6.63e-11 -12.6 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 2.7800468e-02 1.11e-16 2.51e-14 -8.6 2.43e-11 -13.1 1.00e+00 1.00e+00h 1 Number of Iterations....: 20 (scaled) (unscaled) Objective...............: 2.7800467711659484e-02 2.7800467711659484e-02 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 1.1102230246251565e-16 1.1102230246251565e-16 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059046758496295e-09 2.5059046758496295e-09 Overall NLP error.......: 2.5059046758496295e-09 2.5059046758496295e-09 Number of objective function evaluations = 42 Number of objective gradient evaluations = 21 Number of equality constraint evaluations = 42 Number of inequality constraint evaluations = 42 Number of equality constraint Jacobian evaluations = 21 Number of inequality constraint Jacobian evaluations = 21 Number of Lagrangian Hessian evaluations = 20 Total seconds in IPOPT = 0.125 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[3] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[3] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 437 Number of nonzeros in inequality constraint Jacobian.: 129 Number of nonzeros in Lagrangian Hessian.............: 30 Total number of variables............................: 132 variables with only lower bounds: 24 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 81 Total number of inequality constraints...............: 66 inequality constraints with only lower bounds: 53 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 13 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.3999976e-01 4.40e-02 5.54e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 4.3199980e-01 1.70e-03 5.93e-01 -1.7 1.16e-01 -4.0 1.00e+00 7.59e-01h 1 2 4.9367720e-01 6.98e-03 1.40e+00 -1.7 2.61e-02 -4.5 5.51e-01 4.55e-01h 1 3 5.9105613e-01 4.79e-04 7.18e+00 -1.7 2.21e-02 -5.0 1.00e+00 5.63e-01h 1 4 7.8228308e-01 5.89e-04 2.01e+01 -1.7 2.51e-02 -5.4 1.00e+00 5.82e-01h 1 5 9.9979861e-01 9.62e-05 4.64e+01 -1.7 2.76e-02 -5.9 1.00e+00 5.81e-01h 1 6 1.2253093e+00 3.81e-05 9.86e+01 -1.7 2.37e-02 -6.4 1.00e+00 6.01e-01h 1 7 1.3536289e+00 1.59e-05 2.49e+02 -1.7 2.02e-02 -6.9 1.00e+00 5.85e-01h 1 8 1.4039952e+00 6.55e-06 5.98e+02 -1.7 7.39e-03 -7.3 1.00e+00 5.87e-01h 1 9 1.4250886e+00 2.72e-06 1.45e+03 -1.7 3.16e-03 -7.8 1.00e+00 5.86e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.4338237e+00 1.12e-06 3.48e+03 -1.7 1.30e-03 -8.3 1.00e+00 5.87e-01h 1 11 1.4356334e+00 3.18e-07 1.43e+04 -1.7 5.37e-04 -8.8 1.00e+00 2.94e-01f 2 12 1.4391468e+00 1.46e-07 7.17e+03 -1.7 3.79e-04 -9.2 1.00e+00 8.10e-01h 1 13 1.4393465e+00 2.42e-08 9.35e+04 -1.7 7.20e-05 -9.7 1.00e+00 2.42e-01f 2 14 1.4399016e+00 1.16e-08 2.61e+04 -1.7 5.46e-05 -10.2 1.00e+00 8.89e-01h 1 15 1.4399195e+00 1.54e-11 5.57e+05 -1.7 6.06e-06 -10.7 1.00e+00 2.60e-01f 2 16 1.4399708e+00 1.11e-16 2.00e-07 -1.7 4.49e-06 -11.2 1.00e+00 1.00e+00h 1 17 2.4092555e-04 1.11e-16 1.45e+02 -5.7 6.00e-02 -11.6 1.00e+00 1.00e+00f 1 18 1.0637588e-04 4.04e-10 5.70e-10 -5.7 5.70e-06 -12.1 1.00e+00 1.00e+00f 1 19 1.1352387e-05 1.15e-10 1.92e+01 -8.6 5.55e-06 -12.6 1.00e+00 7.60e-01f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 5.6560520e-06 1.22e-08 2.34e+01 -8.6 1.29e-06 -13.1 2.74e-01 3.76e-01f 1 21 2.9006762e-06 8.36e-09 1.11e+02 -8.6 7.73e-07 -13.5 1.45e-01 3.15e-01f 1 22 1.2167892e-06 5.75e-09 6.65e+01 -8.6 6.45e-07 -14.0 2.32e-01 3.12e-01f 1 23 -8.4697623e-08 2.62e-09 5.72e+01 -8.6 2.16e-07 -14.5 2.04e-01 5.45e-01f 1 24 -2.0432393e-07 7.25e-10 1.38e+01 -8.6 1.78e-08 -15.0 7.55e-01 7.23e-01f 1 25 -1.8624890e-07 2.63e-10 5.30e+00 -8.6 3.57e-08 -15.5 3.06e-01 6.37e-01f 1 26 -1.7852933e-07 1.04e-15 7.12e+00 -8.6 1.77e-08 -15.9 5.04e-01 1.00e+00f 1 27 -1.7966688e-07 5.52e-16 2.00e-10 -8.6 1.72e-09 -16.4 1.00e+00 1.00e+00h 1 Number of Iterations....: 27 (scaled) (unscaled) Objective...............: -1.7966688039278131e-07 -1.7966688039278131e-07 Dual infeasibility......: 2.0008644741054127e-10 2.0008644741054127e-10 Constraint violation....: 5.5194207410112423e-16 5.5194207410112423e-16 Variable bound violation: 7.5692110510876764e-09 7.5692110510876764e-09 Complementarity.........: 4.8365993076254019e-09 4.8365993076254019e-09 Overall NLP error.......: 4.8365993076254019e-09 4.8365993076254019e-09 Number of objective function evaluations = 31 Number of objective gradient evaluations = 28 Number of equality constraint evaluations = 31 Number of inequality constraint evaluations = 31 Number of equality constraint Jacobian evaluations = 28 Number of inequality constraint Jacobian evaluations = 28 Number of Lagrangian Hessian evaluations = 27 Total seconds in IPOPT = 0.038 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in '3bus_3wire_delta_single.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 34 in '3bus_3wire_delta_single.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 36 in '3bus_3wire_delta_single.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 431 Number of nonzeros in inequality constraint Jacobian.: 177 Number of nonzeros in Lagrangian Hessian.............: 222 Total number of variables............................: 102 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 81 Total number of inequality constraints...............: 36 inequality constraints with only lower bounds: 14 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.99e-02 1.03e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 6.6702413e-03 3.31e-03 2.86e+00 -1.0 3.54e-02 -4.0 1.00e+00 7.29e-01h 1 2 7.6244538e-03 4.59e-03 2.52e+01 -1.0 3.04e-02 -4.5 1.00e+00 3.81e-01h 1 3 8.5602482e-03 8.07e-04 3.38e+01 -1.0 6.28e-03 -5.0 1.00e+00 6.07e-01h 1 4 8.9169210e-03 7.40e-04 7.75e+01 -1.0 5.32e-03 -5.4 1.00e+00 5.86e-01h 1 5 9.0641678e-03 1.39e-04 1.87e+02 -1.0 1.04e-03 -5.9 1.00e+00 5.85e-01h 1 6 9.1255738e-03 1.27e-04 4.48e+02 -1.0 9.15e-04 -6.4 1.00e+00 5.86e-01h 1 7 9.1509191e-03 2.38e-05 1.08e+03 -1.0 1.78e-04 -6.9 1.00e+00 5.86e-01h 1 8 9.1614384e-03 2.18e-05 2.61e+03 -1.0 1.57e-04 -7.3 1.00e+00 5.86e-01h 1 9 9.1636143e-03 1.29e-05 1.08e+04 -1.0 3.05e-05 -7.8 1.00e+00 2.93e-01f 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 9.1678304e-03 1.37e-06 5.63e+03 -1.0 1.69e-05 -8.3 1.00e+00 8.03e-01h 1 11 9.1680749e-03 1.49e-06 7.26e+04 -1.0 1.05e-05 -8.8 1.00e+00 2.36e-01f 2 12 9.1687348e-03 3.75e-07 3.09e+04 -1.0 4.27e-06 -9.2 1.00e+00 8.36e-01h 1 13 9.1687631e-03 2.26e-07 5.45e+05 -1.0 7.68e-07 -9.7 1.00e+00 2.19e-01f 2 14 9.1688549e-03 1.12e-08 1.19e+05 -1.0 3.66e-07 -10.2 1.00e+00 9.11e-01h 1 15 9.1688571e-03 8.50e-09 3.79e+06 -1.0 1.52e-07 -10.7 1.00e+00 2.43e-01f 2 16 9.1688640e-03 6.37e-17 3.38e-02 -1.0 3.62e-08 -11.2 1.00e+00 1.00e+00h 1 17 9.1688640e-03 6.37e-17 2.56e-09 -8.6 3.14e-16 -11.6 1.00e+00 1.00e+00 0 Number of Iterations....: 17 (scaled) (unscaled) Objective...............: 9.1688639517250505e-03 9.1688639517250505e-03 Dual infeasibility......: 2.5608699515696443e-09 2.5608699515696443e-09 Constraint violation....: 6.3685902280310525e-17 6.3685902280310525e-17 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.9230886199537624e-09 2.9230886199537624e-09 Overall NLP error.......: 2.9230886199537624e-09 2.9230886199537624e-09 Number of objective function evaluations = 22 Number of objective gradient evaluations = 18 Number of equality constraint evaluations = 22 Number of inequality constraint evaluations = 22 Number of equality constraint Jacobian evaluations = 18 Number of inequality constraint Jacobian evaluations = 18 Number of Lagrangian Hessian evaluations = 17 Total seconds in IPOPT = 0.023 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ JuMP.Containers | Warning ] : Axis contains one element: 1. If intended, you can safely ignore this warning. To explicitly pass the axis with one element, pass `[1]` instead of `1`. └ @ JuMP.Containers ~/.julia/packages/JuMP/RGIK3/src/Containers/DenseAxisArray.jl:185 ┌ JuMP.Containers | Warning ] : Axis contains one element: 1. If intended, you can safely ignore this warning. To explicitly pass the axis with one element, pass `[1]` instead of `1`. └ @ JuMP.Containers ~/.julia/packages/JuMP/RGIK3/src/Containers/DenseAxisArray.jl:185 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 529 Number of nonzeros in inequality constraint Jacobian.: 89 Number of nonzeros in Lagrangian Hessian.............: 84 Total number of variables............................: 136 variables with only lower bounds: 14 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 95 Total number of inequality constraints...............: 46 inequality constraints with only lower bounds: 33 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 13 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.3999986e-01 3.00e+00 6.67e-04 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.5235576e-01 2.97e+00 1.32e-01 -1.0 1.85e+00 -4.0 1.10e-02 9.80e-03h 1 2 1.5250130e-01 2.97e+00 3.56e+01 -1.0 6.93e+00 -4.5 1.92e-03 1.17e-04h 1 3 1.7577796e-01 2.91e+00 5.57e+02 -1.0 4.18e+01 -5.0 3.53e-04 1.87e-02f 1 4 1.7669297e-01 2.91e+00 5.56e+02 -1.0 2.52e+00 -5.4 1.26e-02 7.39e-04h 1 5 1.7804904e-01 2.91e+00 5.56e+02 -1.0 1.74e+01 -5.9 1.37e-03 9.82e-04h 1 6 1.7840206e-01 2.91e+00 6.26e+02 -1.0 1.86e+01 1.9 2.68e-03 2.65e-04h 1 7 1.9788062e-01 2.76e+00 1.84e+03 -1.0 1.94e+01 1.5 3.96e-02 1.64e-02h 1 8 2.1250074e-01 2.41e+00 9.37e+03 -1.0 3.61e+00 2.8 2.80e-01 9.02e-02f 1 9 2.1665839e-01 2.20e+00 1.27e+04 -1.0 1.74e+00 3.2 1.00e+00 7.98e-02h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 2.2833727e-01 6.66e-01 1.61e+04 -1.0 1.33e+00 3.6 1.00e+00 5.04e-01h 1 11 2.2886267e-01 6.17e-01 1.79e+04 -1.0 4.68e-01 4.1 8.39e-01 7.32e-02h 1 12 2.3632046e-01 3.50e-01 8.60e+03 -1.0 4.36e-01 3.6 9.27e-02 4.20e-01h 1 13 2.4070572e-01 3.14e-01 8.86e+03 -1.0 2.53e-01 3.1 5.75e-01 1.03e-01h 1 14 2.5333710e-01 2.70e-01 7.97e+03 -1.0 2.39e-01 2.6 4.60e-01 1.38e-01f 1 15 2.7115394e-01 2.40e-01 7.07e+03 -1.0 1.96e-01 2.2 1.23e-01 1.12e-01f 1 16 3.4008033e-01 1.62e-01 4.81e+03 -1.0 1.85e-01 1.7 4.68e-01 3.22e-01h 1 17 5.1935934e-01 6.66e-02 1.98e+03 -1.0 1.30e-01 1.2 9.68e-01 5.84e-01h 1 18 8.5854902e-01 2.95e-02 7.91e+02 -1.0 5.35e-02 0.7 1.00e+00 5.56e-01h 1 19 1.2174546e+00 1.35e-02 3.46e+02 -1.0 6.24e-02 0.2 1.00e+00 5.40e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 2.1624811e+00 1.44e-03 1.57e+02 -1.0 1.27e-01 -0.2 1.00e+00 8.93e-01h 1 21 2.4252960e+00 1.02e-03 8.07e+03 -1.0 1.40e-01 -0.7 1.00e+00 2.92e-01h 1 22 2.9543640e+00 3.84e-04 8.97e+03 -1.0 9.97e-02 -1.2 1.00e+00 6.23e-01h 1 23 3.3381291e+00 1.58e-04 2.09e+04 -1.0 8.82e-02 -1.7 1.00e+00 5.87e-01h 1 24 3.5163467e+00 1.12e-04 8.50e+04 -1.0 9.42e-02 -2.1 1.00e+00 2.93e-01f 2 25 4.0491451e+00 2.12e-05 4.21e+04 -1.0 1.26e-01 -2.6 1.00e+00 8.11e-01h 1 26 4.0856906e+00 1.60e-05 5.45e+05 -1.0 2.61e-02 -3.1 1.00e+00 2.44e-01f 2 27 4.1883033e+00 1.59e-06 1.35e+05 -1.0 1.97e-02 -3.6 1.00e+00 9.00e-01h 1 28 4.1913651e+00 1.16e-06 3.09e+06 -1.0 1.97e-03 -4.0 1.00e+00 2.69e-01f 2 29 4.1996728e+00 2.71e-13 1.13e-06 -1.0 1.44e-03 -4.5 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 30 1.5977548e-04 4.44e-16 9.17e+02 -8.6 3.00e-01 -5.0 1.00e+00 1.00e+00f 1 31 5.4567423e-05 2.05e-08 5.91e+02 -8.6 3.06e-05 -5.5 3.31e-01 3.55e-01f 1 32 1.1818526e-05 1.31e-08 7.63e+02 -8.6 1.28e-05 -6.0 2.08e-02 3.64e-01f 1 33 1.1932001e-06 7.91e-09 2.28e+02 -8.6 3.59e-06 -6.4 5.97e-01 3.95e-01f 1 34 -1.0057061e-07 2.01e-09 5.78e+01 -8.6 3.01e-07 -6.9 7.95e-01 7.46e-01f 1 35 -1.0507034e-07 1.61e-10 2.66e+00 -8.6 5.76e-09 -7.4 9.74e-01 1.00e+00f 1 36 -1.0491151e-07 4.44e-16 1.27e-09 -8.6 6.82e-10 -7.9 1.00e+00 1.00e+00h 1 Number of Iterations....: 36 (scaled) (unscaled) Objective...............: -1.0491151182122042e-07 -1.0491151182122042e-07 Dual infeasibility......: 1.2723169844075510e-09 1.2723169844075510e-09 Constraint violation....: 4.4408920985006262e-16 4.4408920985006262e-16 Variable bound violation: 7.4938692032130446e-09 7.4938692032130446e-09 Complementarity.........: 4.3071396246922561e-09 4.3071396246922561e-09 Overall NLP error.......: 4.3071396246922561e-09 4.3071396246922561e-09 Number of objective function evaluations = 40 Number of objective gradient evaluations = 37 Number of equality constraint evaluations = 40 Number of inequality constraint evaluations = 40 Number of equality constraint Jacobian evaluations = 37 Number of inequality constraint Jacobian evaluations = 37 Number of Lagrangian Hessian evaluations = 36 Total seconds in IPOPT = 0.043 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 3 in 'test_load_3ph_wye_cp.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 22 in 'test_load_3ph_wye_cp.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 364 Number of nonzeros in inequality constraint Jacobian.: 12 Number of nonzeros in Lagrangian Hessian.............: 138 Total number of variables............................: 90 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 6 inequality constraints with only lower bounds: 3 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 3.75e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.3680622e-02 1.12e-03 2.18e-01 -1.0 6.37e-02 -2.0 1.00e+00 9.80e-01h 1 2 1.3946779e-02 1.67e-05 2.80e+00 -1.7 2.58e-03 -1.6 1.00e+00 9.86e-01h 1 3 1.3947974e-02 1.19e-05 6.47e+03 -1.7 5.65e-05 -1.1 1.00e+00 2.99e-01f 1 4 1.3950760e-02 7.18e-06 7.62e-03 -1.7 2.68e-05 -1.6 1.00e+00 1.00e+00f 1 5 1.3950756e-02 2.86e-09 5.02e-05 -3.8 1.16e-05 -2.1 1.00e+00 1.00e+00h 1 In iteration 5, 1 Slack too small, adjusting variable bound 6 1.3950756e-02 7.84e-09 3.35e+01 -8.6 2.57e-08 -2.6 1.00e+00 9.66e-01h 1 7 1.3950756e-02 9.58e-09 1.87e-06 -8.6 2.03e-09 -3.1 1.00e+00 1.00e+00s 22 8 1.3950756e-02 9.89e-09 3.47e-07 -8.6 3.40e-10 -3.5 1.00e+00 1.00e+00s 22 9 1.3950756e-02 9.96e-09 7.84e-08 -8.6 7.62e-11 -4.0 1.00e+00 1.00e+00s 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.3950756e-02 9.98e-09 1.89e-08 -8.6 1.83e-11 -4.5 1.00e+00 1.00e+00s 22 Number of Iterations....: 10 (scaled) (unscaled) Objective...............: 1.3950755749298339e-02 1.3950755749298339e-02 Dual infeasibility......: 1.8895207176683471e-08 1.8895207176683471e-08 Constraint violation....: 9.9787187402000654e-09 9.9787187402000654e-09 Variable bound violation: 9.9787187402000654e-09 9.9787187402000654e-09 Complementarity.........: 2.3763059621179028e-08 2.3763059621179028e-08 Overall NLP error.......: 9.9787187402000654e-09 2.3763059621179028e-08 Number of objective function evaluations = 36 Number of objective gradient evaluations = 11 Number of equality constraint evaluations = 36 Number of inequality constraint evaluations = 36 Number of equality constraint Jacobian evaluations = 11 Number of inequality constraint Jacobian evaluations = 11 Number of Lagrangian Hessian evaluations = 10 Total seconds in IPOPT = 0.014 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[1] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 380 Number of nonzeros in inequality constraint Jacobian.: 116 Number of nonzeros in Lagrangian Hessian.............: 12 Total number of variables............................: 128 variables with only lower bounds: 30 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 58 inequality constraints with only lower bounds: 55 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.9999970e-01 6.50e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.3114021e+00 1.25e-02 7.19e+00 -1.0 1.45e-01 -2.0 1.00e+00 3.74e-01h 1 2 2.3089167e+00 1.94e-02 1.30e+01 -1.0 6.22e-02 -1.6 1.00e+00 5.67e-01h 1 3 2.8476319e+00 2.27e-03 2.61e+01 -1.0 3.99e-02 -1.1 1.00e+00 5.87e-01h 1 4 3.3433789e+00 3.04e-03 4.29e+01 -1.0 5.03e-02 -1.6 1.00e+00 6.31e-01h 1 5 4.1450920e+00 3.01e-04 6.06e+01 -1.0 9.92e-02 -2.1 8.21e-01 6.35e-01h 1 6 5.1985800e+00 3.17e-04 2.76e+02 -1.0 1.03e-01 -2.6 1.00e+00 6.19e-01h 1 7 6.9087563e+00 2.46e-05 3.69e+02 -1.0 1.59e-01 -3.1 1.00e+00 8.14e-01h 1 8 8.2041835e+00 1.66e-05 2.06e-02 -1.0 1.40e-01 -3.5 1.00e+00 1.00e+00h 1 9 1.2367986e-02 1.39e-09 3.65e-05 -3.8 3.22e-01 -4.0 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.4056374e-04 9.34e-09 3.51e+00 -5.7 4.63e-04 -4.5 1.00e+00 9.85e-01f 1 11 1.3836586e-04 9.45e-09 1.80e+02 -5.7 7.19e-06 -5.0 1.00e+00 2.50e-01f 3 12 1.3113085e-04 9.78e-09 7.13e-08 -5.7 4.87e-06 -5.4 1.00e+00 1.00e+00s 22 13 1.1610513e-05 9.91e-09 3.79e+02 -8.6 8.69e-06 -5.9 1.00e+00 7.00e-01h 1 14 1.7712605e-06 9.97e-09 3.23e+02 -8.6 8.04e-07 -5.5 1.00e+00 7.46e-01h 1 In iteration 14, 1 Slack too small, adjusting variable bound 15 4.0050649e-07 3.55e-08 8.97e+01 -8.6 1.40e-07 -6.0 7.16e-01 7.18e-01f 1 16 -2.1834882e-07 1.00e-08 6.49e+02 -8.6 6.41e-08 -5.5 3.48e-01 9.07e-01h 1 17 -1.9698078e-07 1.00e-08 1.00e+03 -8.6 1.05e-08 -5.1 4.77e-01 1.00e+00f 1 In iteration 17, 1 Slack too small, adjusting variable bound 18 -2.1606563e-07 1.00e-08 9.78e+02 -8.6 1.11e-08 -5.6 5.38e-01 9.44e-01h 1 19 -2.1766853e-07 1.00e-08 4.84e-08 -8.6 2.99e-09 -5.2 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 -2.2230107e-07 9.99e-09 8.61e+02 -8.6 7.44e-10 -5.6 3.21e-01 1.00e+00h 1 21 -2.2324670e-07 9.99e-09 1.12e+03 -8.6 3.32e-08 -5.2 5.67e-02 2.96e-01h 1 In iteration 21, 1 Slack too small, adjusting variable bound 22 -2.2524183e-07 9.91e-09 1.77e+03 -8.6 5.27e-08 -5.7 1.40e-01 7.73e-01f 1 In iteration 22, 1 Slack too small, adjusting variable bound 23 -2.2569318e-07 5.29e-09 1.42e+03 -8.6 2.38e-08 -5.3 7.25e-02 1.94e-01h 1 In iteration 23, 1 Slack too small, adjusting variable bound 24 -2.2601943e-07 3.81e-09 1.09e+03 -8.6 3.49e-08 -5.7 4.65e-02 2.30e-01h 1 In iteration 24, 1 Slack too small, adjusting variable bound 25 -2.2606629e-07 3.44e-09 9.17e+02 -8.6 6.46e-08 -5.3 5.98e-02 1.62e-01h 1 26 -2.2507696e-07 1.12e-08 3.55e+02 -8.6 8.81e-08 -5.8 1.01e-01 9.73e-01h 1 In iteration 26, 1 Slack too small, adjusting variable bound 27 -2.2550745e-07 6.20e-09 1.99e+02 -8.6 7.41e-08 -5.4 4.14e-01 3.41e-01f 1 In iteration 27, 1 Slack too small, adjusting variable bound 28 -2.2552672e-07 3.67e-09 2.28e+02 -8.6 8.12e-08 -5.9 1.58e-02 2.48e-01h 1 In iteration 28, 1 Slack too small, adjusting variable bound 29 -2.2530549e-07 2.96e-09 2.89e+02 -8.6 9.90e-08 -6.3 3.14e-02 5.23e-01h 1 In iteration 29, 1 Slack too small, adjusting variable bound iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 30 -2.2525607e-07 2.77e-09 2.87e+02 -8.6 5.91e-08 -6.8 9.60e-02 2.80e-01h 1 In iteration 30, 1 Slack too small, adjusting variable bound 31 -2.2523445e-07 5.42e-09 2.33e+02 -8.6 3.27e-07 -6.4 1.41e-01 5.27e-02H 1 32 -2.2498174e-07 2.75e-09 2.72e+02 -8.6 3.70e-08 -6.0 6.43e-02 4.46e-01h 1 33 -2.2441180e-07 1.13e-08 3.21e+02 -8.6 4.35e-08 -6.4 2.24e-01 1.00e+00f 1 34 -2.2443538e-07 9.40e-09 2.47e+02 -8.6 1.90e-07 -6.9 2.32e-01 2.38e-01h 1 35 -2.2436595e-07 4.21e-09 3.52e+02 -8.6 3.88e-08 -6.5 5.21e-02 8.82e-01f 1 In iteration 35, 1 Slack too small, adjusting variable bound 36 -2.2429291e-07 3.50e-09 2.90e+02 -8.6 3.83e-08 -7.0 3.82e-01 8.96e-01f 1 37 -2.2427021e-07 2.13e-09 4.40e+01 -8.6 4.68e-08 -7.4 7.02e-01 4.03e-01h 1 38 -2.2423361e-07 6.18e-10 3.02e-10 -8.6 1.05e-08 -7.9 1.00e+00 1.00e+00f 1 Number of Iterations....: 38 (scaled) (unscaled) Objective...............: -2.2423361020123055e-07 -2.2423361020123055e-07 Dual infeasibility......: 3.0241232973519098e-10 3.0241232973519098e-10 Constraint violation....: 6.1783172848606238e-10 6.1783172848606238e-10 Variable bound violation: 7.4940964403199976e-09 7.4940964403199976e-09 Complementarity.........: 5.4189827338482330e-09 5.4189827338482330e-09 Overall NLP error.......: 2.9759503084314540e-09 5.4189827338482330e-09 Number of objective function evaluations = 71 Number of objective gradient evaluations = 39 Number of equality constraint evaluations = 71 Number of inequality constraint evaluations = 71 Number of equality constraint Jacobian evaluations = 39 Number of inequality constraint Jacobian evaluations = 39 Number of Lagrangian Hessian evaluations = 38 Total seconds in IPOPT = 0.058 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 3 in 'test_load_1ph_delta_cp.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 22 in 'test_load_1ph_delta_cp.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 364 Number of nonzeros in inequality constraint Jacobian.: 12 Number of nonzeros in Lagrangian Hessian.............: 110 Total number of variables............................: 90 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 6 inequality constraints with only lower bounds: 3 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 2.60e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.3646095e-02 4.81e-04 2.18e-01 -1.0 4.25e-02 -2.0 1.00e+00 9.80e-01h 1 2 1.3909064e-02 6.87e-06 2.80e+00 -1.7 1.28e-03 -1.6 1.00e+00 9.86e-01h 1 3 1.3910189e-02 1.19e-05 6.47e+03 -1.7 3.75e-05 -1.1 1.00e+00 2.99e-01f 1 4 1.3912821e-02 7.18e-06 7.62e-03 -1.7 1.27e-05 -1.6 1.00e+00 1.00e+00f 1 5 1.3912819e-02 2.86e-09 5.02e-05 -3.8 1.16e-05 -2.1 1.00e+00 1.00e+00h 1 In iteration 5, 1 Slack too small, adjusting variable bound 6 1.3912819e-02 7.84e-09 3.35e+01 -8.6 2.57e-08 -2.6 1.00e+00 9.66e-01h 1 7 1.3912819e-02 9.58e-09 1.87e-06 -8.6 2.03e-09 -3.1 1.00e+00 1.00e+00s 22 8 1.3912819e-02 9.89e-09 3.47e-07 -8.6 3.25e-10 -3.5 1.00e+00 1.00e+00s 22 9 1.3912819e-02 9.96e-09 7.84e-08 -8.6 7.29e-11 -4.0 1.00e+00 1.00e+00s 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.3912819e-02 9.98e-09 1.89e-08 -8.6 1.75e-11 -4.5 1.00e+00 1.00e+00s 22 Number of Iterations....: 10 (scaled) (unscaled) Objective...............: 1.3912819457181628e-02 1.3912819457181628e-02 Dual infeasibility......: 1.8893615560955368e-08 1.8893615560955368e-08 Constraint violation....: 9.9787189622446704e-09 9.9787189622446704e-09 Variable bound violation: 9.9787189622446704e-09 9.9787189622446704e-09 Complementarity.........: 2.3762916244234359e-08 2.3762916244234359e-08 Overall NLP error.......: 9.9787189622446704e-09 2.3762916244234359e-08 Number of objective function evaluations = 36 Number of objective gradient evaluations = 11 Number of equality constraint evaluations = 36 Number of inequality constraint evaluations = 36 Number of equality constraint Jacobian evaluations = 11 Number of inequality constraint Jacobian evaluations = 11 Number of Lagrangian Hessian evaluations = 10 Total seconds in IPOPT = 0.013 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 372 Number of nonzeros in inequality constraint Jacobian.: 92 Number of nonzeros in Lagrangian Hessian.............: 12 Total number of variables............................: 118 variables with only lower bounds: 24 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 46 inequality constraints with only lower bounds: 43 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.3999976e-01 4.30e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.0090419e+00 1.28e-02 7.10e+00 -1.0 1.03e-01 -2.0 1.00e+00 3.55e-01h 1 2 1.8645759e+00 1.37e-02 1.01e+01 -1.0 6.37e-02 -1.6 1.00e+00 5.91e-01h 1 3 2.3129805e+00 2.01e-03 1.82e+01 -1.0 3.94e-02 -1.1 1.00e+00 6.20e-01h 1 4 2.6794582e+00 2.27e-03 5.23e+01 -1.0 5.18e-02 -1.6 1.00e+00 5.64e-01h 1 5 3.4063594e+00 2.87e-04 9.33e+01 -1.0 1.03e-01 -2.1 1.00e+00 6.72e-01h 1 6 4.2763089e+00 1.77e-04 2.92e+02 -1.0 9.94e-02 -2.6 1.00e+00 6.29e-01h 1 7 5.8545234e+00 3.20e-06 9.66e-02 -1.0 1.20e-01 -3.1 1.00e+00 1.00e+00h 1 8 2.6913372e-01 1.05e-06 1.23e+01 -2.5 2.91e-01 -3.5 1.00e+00 9.85e-01f 1 9 1.8265189e-01 1.06e-06 3.87e-05 -2.5 4.52e-03 -4.0 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 2.1832850e-04 2.42e-09 1.01e-01 -5.7 8.86e-03 -4.5 1.00e+00 9.98e-01f 1 11 9.7161988e-05 9.30e-09 1.40e-06 -5.7 1.24e-05 -5.0 1.00e+00 1.00e+00f 1 12 1.0570219e-05 9.65e-09 4.17e+02 -8.6 7.75e-06 -5.4 1.00e+00 6.65e-01h 1 13 1.7875657e-06 9.84e-09 3.49e+02 -8.6 1.09e-06 -5.9 1.00e+00 7.24e-01f 1 14 -1.2386241e-07 9.94e-09 5.14e+00 -8.6 1.86e-07 -6.4 8.62e-01 8.96e-01f 1 In iteration 14, 1 Slack too small, adjusting variable bound 15 -1.2455342e-07 5.45e-08 4.21e+00 -8.6 1.41e-06 -6.9 1.24e-02 1.44e-02f 1 16 -1.6446376e-07 9.96e-09 9.23e+02 -8.6 1.93e-08 -7.4 2.72e-01 1.00e+00h 1 17 -1.7388993e-07 9.95e-09 8.81e+02 -8.6 1.45e-08 -7.8 5.47e-01 9.11e-01h 1 18 -1.7557406e-07 9.74e-09 1.67e+03 -8.6 3.51e-09 -8.3 2.14e-01 1.00e+00f 1 In iteration 18, 1 Slack too small, adjusting variable bound 19 -1.7685757e-07 7.43e-10 9.43e+02 -8.6 2.28e-08 -8.8 3.34e-01 4.34e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 -1.7877182e-07 6.46e-09 2.43e+02 -8.6 6.86e-09 -9.3 2.07e-01 1.00e+00h 1 In iteration 20, 1 Slack too small, adjusting variable bound 21 -1.7941335e-07 4.48e-09 9.63e+01 -8.6 1.41e-08 -9.7 5.07e-01 3.25e-01h 1 22 -1.8090896e-07 5.39e-10 1.36e+02 -8.6 1.11e-08 -10.2 4.27e-01 1.00e+00h 1 In iteration 22, 1 Slack too small, adjusting variable bound 23 -1.8126812e-07 1.19e-09 1.88e+02 -8.6 4.23e-08 -10.7 1.31e-02 3.97e-01h 1 24 -1.8134906e-07 5.23e-09 3.11e+02 -8.6 3.40e-08 -11.2 4.78e-02 1.00e+00h 1 25 -1.7982291e-07 1.57e-09 4.08e+02 -8.6 2.50e-08 -11.6 1.02e-01 1.00e+00h 1 26 -1.7931665e-07 1.72e-09 2.38e+02 -8.6 2.56e-08 -12.1 5.68e-01 1.00e+00h 1 27 -1.7931636e-07 1.71e-10 5.87e+01 -8.6 1.24e-08 -12.6 8.45e-01 1.00e+00h 1 28 -1.7931626e-07 6.89e-11 7.43e-12 -8.6 1.60e-09 -13.1 1.00e+00 1.00e+00h 1 Number of Iterations....: 28 (scaled) (unscaled) Objective...............: -1.7931625641580463e-07 -1.7931625641580463e-07 Dual infeasibility......: 7.4306406177552334e-12 7.4306406177552334e-12 Constraint violation....: 6.8906737954455011e-11 6.8906737954455011e-11 Variable bound violation: 7.4940964403199992e-09 7.4940964403199992e-09 Complementarity.........: 3.5380681946920720e-09 3.5380681946920720e-09 Overall NLP error.......: 3.5380681946920720e-09 3.5380681946920720e-09 Number of objective function evaluations = 29 Number of objective gradient evaluations = 29 Number of equality constraint evaluations = 29 Number of inequality constraint evaluations = 29 Number of equality constraint Jacobian evaluations = 29 Number of inequality constraint Jacobian evaluations = 29 Number of Lagrangian Hessian evaluations = 28 Total seconds in IPOPT = 0.029 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 3 in 'test_load_3ph_delta_cz.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 22 in 'test_load_3ph_delta_cz.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 364 Number of nonzeros in inequality constraint Jacobian.: 12 Number of nonzeros in Lagrangian Hessian.............: 166 Total number of variables............................: 90 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 6 inequality constraints with only lower bounds: 3 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 3.75e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.3153154e-02 7.66e-04 2.18e-01 -1.0 5.95e-02 -2.0 1.00e+00 9.80e-01h 1 2 1.3403016e-02 1.11e-05 2.80e+00 -1.7 1.82e-03 -1.6 1.00e+00 9.86e-01h 1 3 1.3404064e-02 1.19e-05 6.47e+03 -1.7 4.29e-05 -1.1 1.00e+00 2.99e-01f 1 4 1.3406581e-02 7.18e-06 7.62e-03 -1.7 1.79e-05 -1.6 1.00e+00 1.00e+00f 1 5 1.3406600e-02 2.86e-09 5.02e-05 -3.8 1.16e-05 -2.1 1.00e+00 1.00e+00h 1 In iteration 5, 1 Slack too small, adjusting variable bound 6 1.3406600e-02 7.84e-09 3.35e+01 -8.6 2.57e-08 -2.6 1.00e+00 9.66e-01h 1 7 1.3406600e-02 9.58e-09 1.87e-06 -8.6 2.03e-09 -3.1 1.00e+00 1.00e+00s 22 8 1.3406600e-02 9.89e-09 3.47e-07 -8.6 3.22e-10 -3.5 1.00e+00 1.00e+00s 22 9 1.3406600e-02 9.96e-09 7.84e-08 -8.6 7.22e-11 -4.0 1.00e+00 1.00e+00s 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.3406600e-02 9.98e-09 1.89e-08 -8.6 1.74e-11 -4.5 1.00e+00 1.00e+00s 22 Number of Iterations....: 10 (scaled) (unscaled) Objective...............: 1.3406600485322332e-02 1.3406600485322332e-02 Dual infeasibility......: 1.8894070308306254e-08 1.8894070308306254e-08 Constraint violation....: 9.9787191842892753e-09 9.9787191842892753e-09 Variable bound violation: 9.9787191842892753e-09 9.9787191842892753e-09 Complementarity.........: 2.3762752744530366e-08 2.3762752744530366e-08 Overall NLP error.......: 9.9787191842892753e-09 2.3762752744530366e-08 Number of objective function evaluations = 36 Number of objective gradient evaluations = 11 Number of equality constraint evaluations = 36 Number of inequality constraint evaluations = 36 Number of equality constraint Jacobian evaluations = 11 Number of inequality constraint Jacobian evaluations = 11 Number of Lagrangian Hessian evaluations = 10 Total seconds in IPOPT = 0.016 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 374 Number of nonzeros in inequality constraint Jacobian.: 92 Number of nonzeros in Lagrangian Hessian.............: 12 Total number of variables............................: 122 variables with only lower bounds: 24 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 46 inequality constraints with only lower bounds: 43 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.3999976e-01 6.02e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.0211994e+00 1.27e-02 7.47e+00 -1.0 1.37e-01 -2.0 1.00e+00 3.61e-01h 1 2 1.8873345e+00 1.64e-02 1.09e+01 -1.0 6.33e-02 -1.6 1.00e+00 6.00e-01h 1 3 2.3116317e+00 2.13e-03 2.25e+01 -1.0 3.91e-02 -1.1 1.00e+00 5.83e-01h 1 4 2.7442132e+00 2.61e-03 4.38e+01 -1.0 5.16e-02 -1.6 1.00e+00 6.22e-01h 1 5 3.4181043e+00 3.44e-04 1.26e+02 -1.0 1.02e-01 -2.1 1.00e+00 5.73e-01h 1 6 4.4887783e+00 1.98e-04 2.27e+02 -1.0 1.17e-01 -2.6 1.00e+00 6.79e-01h 1 7 5.6016535e+00 2.11e-05 3.46e+02 -1.0 1.11e-01 -3.1 1.00e+00 8.28e-01h 1 8 6.3892337e+00 1.97e-05 3.82e-03 -1.0 1.18e-01 -3.5 1.00e+00 1.00e+00f 1 9 9.6758259e-03 6.30e-10 4.19e-05 -3.8 3.01e-01 -4.0 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.2034061e-04 9.41e-09 3.28e+00 -5.7 4.59e-04 -4.5 1.00e+00 9.86e-01f 1 11 1.1064128e-04 9.60e-09 1.20e+02 -5.7 6.54e-06 -5.0 1.00e+00 5.00e-01f 2 12 9.9276961e-05 9.79e-09 4.17e-08 -5.7 2.77e-06 -5.4 1.00e+00 1.00e+00s 22 13 7.0613633e-06 9.92e-09 3.73e+02 -8.6 7.72e-06 -5.9 1.00e+00 7.06e-01h 1 14 5.7846261e-07 9.98e-09 2.37e+02 -8.6 7.32e-07 -6.4 1.00e+00 8.14e-01f 1 In iteration 14, 1 Slack too small, adjusting variable bound 15 5.3354909e-07 4.33e-07 2.23e+02 -8.6 3.25e-06 -6.9 4.97e-02 5.36e-02f 1 16 -1.8124821e-07 1.84e-08 5.39e+02 -8.6 1.71e-07 -5.5 4.39e-01 9.59e-01h 1 17 -1.6481814e-07 1.00e-08 9.94e+02 -8.6 1.06e-08 -5.1 4.53e-01 1.00e+00f 1 18 -1.7023248e-07 1.00e-08 8.78e+02 -8.6 1.17e-08 -5.6 3.32e-01 5.00e-01h 2 19 -1.8013567e-07 1.00e-08 4.37e+02 -8.6 3.56e-09 -5.2 8.72e-01 1.00e+00H 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 -1.7943284e-07 1.00e-08 9.69e+02 -8.6 6.34e-09 -5.6 4.35e-01 1.00e+00h 1 21 -1.8125300e-07 9.99e-09 1.88e+03 -8.6 3.80e-08 -5.2 1.63e-01 1.00e+00h 1 22 -1.8202453e-07 9.96e-09 3.04e+03 -8.6 4.30e-08 -5.7 3.58e-02 1.00e+00h 1 In iteration 22, 1 Slack too small, adjusting variable bound 23 -1.8199556e-07 1.02e-08 3.18e+03 -8.6 5.45e-08 -6.2 4.10e-02 2.46e-01h 1 24 -1.8110828e-07 8.60e-08 4.25e+03 -8.6 4.75e-08 -6.7 2.07e-02 1.00e+00h 1 25 -1.8127619e-07 1.22e-07 4.24e+03 -8.6 2.33e+01 -7.1 1.02e-09 1.88e-09h 2 26 -1.8127432e-07 1.12e-07 3.88e+03 -8.6 7.74e-08 -6.7 8.50e-02 1.04e-01h 2 27 -1.8126875e-07 1.12e-07 3.72e+03 -8.6 9.70e-08 -7.2 1.11e-01 4.13e-02h 2 In iteration 27, 1 Slack too small, adjusting variable bound 28 -1.8119248e-07 9.64e-08 3.21e+03 -8.6 5.66e-08 -6.8 1.52e-01 1.38e-01h 1 In iteration 28, 1 Slack too small, adjusting variable bound 29 -1.8114167e-07 9.09e-08 3.01e+03 -8.6 6.04e-08 -7.2 1.63e-01 6.19e-02h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 30 -1.8087840e-07 9.70e-08 2.70e+03 -8.6 1.50e-07 -7.7 4.04e-02 1.02e-01h 1 31 -1.8083725e-07 9.53e-08 2.66e+03 -8.6 6.62e-08 -8.2 6.93e-02 1.77e-02f 2 In iteration 31, 1 Slack too small, adjusting variable bound 32 -1.8047573e-07 8.15e-08 2.26e+03 -8.6 6.04e-08 -8.7 2.52e-02 1.49e-01h 1 In iteration 32, 1 Slack too small, adjusting variable bound 33 -1.8006112e-07 6.67e-08 1.84e+03 -8.6 3.90e-08 -9.1 1.83e-01 1.88e-01h 1 34 -1.7890131e-07 2.88e-08 7.64e+02 -8.6 2.78e-08 -9.6 4.56e-01 5.84e-01h 1 In iteration 34, 1 Slack too small, adjusting variable bound 35 -1.7796227e-07 7.82e-09 1.87e+02 -8.6 1.17e-08 -10.1 5.72e-01 7.55e-01f 1 36 -1.7751786e-07 2.53e-09 4.24e+01 -8.6 1.85e-08 -10.6 9.04e-01 7.74e-01h 1 37 -1.7744098e-07 1.74e-09 6.35e+01 -8.6 4.59e-08 -11.0 7.45e-01 3.56e-01f 2 38 -1.7730047e-07 1.93e-10 1.81e+01 -8.6 9.96e-09 -11.5 7.84e-01 1.00e+00h 1 39 -1.7730226e-07 2.20e-11 3.17e-11 -8.6 3.82e-09 -12.0 1.00e+00 1.00e+00h 1 Number of Iterations....: 39 (scaled) (unscaled) Objective...............: -1.7730225516435214e-07 -1.7730225516435214e-07 Dual infeasibility......: 3.1653901721995226e-11 3.1653901721995226e-11 Constraint violation....: 2.2021107159986286e-11 2.2021107159986286e-11 Variable bound violation: 7.4940964403199976e-09 7.4940964403199976e-09 Complementarity.........: 2.8490948275524755e-09 2.8490948275524755e-09 Overall NLP error.......: 1.1970834704697080e-09 2.8490948275524755e-09 Number of objective function evaluations = 79 Number of objective gradient evaluations = 40 Number of equality constraint evaluations = 79 Number of inequality constraint evaluations = 79 Number of equality constraint Jacobian evaluations = 40 Number of inequality constraint Jacobian evaluations = 40 Number of Lagrangian Hessian evaluations = 39 Total seconds in IPOPT = 0.062 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 3 in 'test_load_1ph_wye_cp.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 22 in 'test_load_1ph_wye_cp.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 364 Number of nonzeros in inequality constraint Jacobian.: 12 Number of nonzeros in Lagrangian Hessian.............: 70 Total number of variables............................: 90 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 6 inequality constraints with only lower bounds: 3 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 6.76e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.5684777e-02 1.08e-02 2.18e-01 -1.0 1.38e-01 -2.0 1.00e+00 9.80e-01h 1 2 1.6319990e-02 6.02e-04 2.80e+00 -1.7 2.80e-02 -1.6 1.00e+00 9.86e-01h 1 3 1.6363940e-02 4.23e-04 6.47e+03 -1.7 2.62e-03 -1.1 1.00e+00 2.99e-01f 1 4 1.6467152e-02 7.18e-06 7.62e-03 -1.7 1.83e-03 -1.6 1.00e+00 1.00e+00f 1 5 1.6467530e-02 2.86e-09 5.02e-05 -3.8 1.16e-05 -2.1 1.00e+00 1.00e+00h 1 In iteration 5, 1 Slack too small, adjusting variable bound 6 1.6467530e-02 7.84e-09 3.35e+01 -8.6 2.57e-08 -2.6 1.00e+00 9.66e-01h 1 7 1.6467530e-02 9.58e-09 1.87e-06 -8.6 2.75e-09 -3.1 1.00e+00 1.00e+00s 22 8 1.6467530e-02 9.89e-09 3.47e-07 -8.6 4.93e-10 -3.5 1.00e+00 1.00e+00s 22 9 1.6467530e-02 9.96e-09 7.84e-08 -8.6 1.10e-10 -4.0 1.00e+00 1.00e+00s 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.6467530e-02 9.98e-09 1.89e-08 -8.6 2.66e-11 -4.5 1.00e+00 1.00e+00s 22 Number of Iterations....: 10 (scaled) (unscaled) Objective...............: 1.6467529578117590e-02 1.6467529578117590e-02 Dual infeasibility......: 1.8894752429332584e-08 1.8894752429332584e-08 Constraint violation....: 9.9787145213525719e-09 9.9787145213525719e-09 Variable bound violation: 9.9787145213525719e-09 9.9787145213525719e-09 Complementarity.........: 2.3763867801499746e-08 2.3763867801499746e-08 Overall NLP error.......: 9.9787145213525719e-09 2.3763867801499746e-08 Number of objective function evaluations = 36 Number of objective gradient evaluations = 11 Number of equality constraint evaluations = 36 Number of inequality constraint evaluations = 36 Number of equality constraint Jacobian evaluations = 11 Number of inequality constraint Jacobian evaluations = 11 Number of Lagrangian Hessian evaluations = 10 Total seconds in IPOPT = 0.014 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[1] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 1-dimensional DenseAxisArray{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape},1,...} with index sets: Dimension 1, [1, 2, 3] And data, a 3-element Vector{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape}}: 0_cig_1[1]*0_vr_3[1] - 0_crg_1[1]*0_vi_3[1] + 0_qg_1[1] = 0 0_cig_1[2]*0_vr_3[2] - 0_crg_1[2]*0_vi_3[2] + 0_qg_1[2] = 0 0_cig_1[3]*0_vr_3[3] - 0_crg_1[3]*0_vi_3[3] + 0_qg_1[3] = 0 1-dimensional DenseAxisArray{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape},1,...} with index sets: Dimension 1, [1, 2, 3] And data, a 3-element Vector{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape}}: -0_crg_1[1]*0_vr_3[1] - 0_cig_1[1]*0_vi_3[1] + 0_pg_1[1] = 0 -0_crg_1[2]*0_vr_3[2] - 0_cig_1[2]*0_vi_3[2] + 0_pg_1[2] = 0 -0_crg_1[3]*0_vr_3[3] - 0_cig_1[3]*0_vi_3[3] + 0_pg_1[3] = 0 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 438 Number of nonzeros in inequality constraint Jacobian.: 60 Number of nonzeros in Lagrangian Hessian.............: 54 Total number of variables............................: 122 variables with only lower bounds: 12 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 86 Total number of inequality constraints...............: 30 inequality constraints with only lower bounds: 27 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.1999988e-01 1.19e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.3309500e-01 1.17e+00 1.15e+04 -1.0 1.29e+00 -2.0 1.40e-02 1.21e-02h 1 2 1.3309528e-01 1.17e+00 1.16e+04 -1.0 1.34e+00 5.8 4.27e-02 1.29e-04h 1 3r 1.3309528e-01 1.17e+00 9.99e+02 0.1 0.00e+00 6.3 0.00e+00 3.55e-07R 6 4r 1.3346397e-01 1.16e+00 9.99e+02 0.1 5.10e+02 - 1.38e-03 3.50e-05f 1 5r 1.5717381e-01 7.81e-01 9.98e+02 0.1 3.07e+02 - 1.85e-02 2.25e-03f 1 6 1.5717398e-01 7.80e-01 7.42e+01 -1.0 6.07e-01 5.8 2.80e-03 1.62e-04h 1 7 1.5717710e-01 7.79e-01 5.49e+03 -1.0 6.23e-01 5.3 1.51e-02 2.37e-03f 1 8 1.5721783e-01 7.63e-01 3.30e+03 -1.0 6.26e-01 4.8 3.17e-03 1.98e-02f 1 9 1.5739952e-01 7.31e-01 8.93e+03 -1.0 6.06e-01 4.4 1.52e-01 4.17e-02f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.5845865e-01 6.57e-01 8.07e+03 -1.0 5.84e-01 3.9 9.64e-02 9.62e-02h 1 11 1.5851717e-01 6.56e-01 4.99e+03 -1.0 4.56e-01 3.4 6.32e-01 1.93e-03h 1 12 1.9217795e-01 2.98e-01 4.03e+03 -1.0 5.25e-01 2.9 4.20e-02 5.12e-01h 1 13 2.8259944e-01 3.07e-02 6.05e+02 -1.0 1.80e-01 2.5 1.00e+00 8.89e-01h 1 14 3.6062538e-01 1.64e-02 6.82e+02 -1.0 1.79e-02 2.0 1.00e+00 4.66e-01h 1 15 4.9062302e-01 8.92e-03 6.44e+02 -1.0 2.63e-02 1.5 1.00e+00 4.57e-01h 1 16 7.8403406e-01 3.10e-03 4.50e+02 -1.0 4.92e-02 1.0 1.00e+00 6.51e-01h 1 17 1.3417584e+00 7.43e-04 4.50e+02 -1.0 1.03e-01 0.5 1.00e+00 7.61e-01h 1 18 1.9984865e+00 2.23e-04 1.70e+03 -1.0 1.33e-01 0.1 1.00e+00 7.00e-01h 1 19 2.7570813e+00 5.81e-05 9.33e+02 -1.0 1.68e-01 -0.4 8.65e-01 7.41e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 3.1711970e+00 2.91e-05 2.53e+03 -1.0 1.12e-01 -0.9 1.00e+00 5.00e-01f 2 21 3.6043322e+00 1.11e-05 2.52e-02 -1.0 6.41e-02 -1.4 1.00e+00 1.00e+00h 1 22 2.6380318e-02 1.87e-09 4.47e-03 -3.8 3.09e-01 -1.8 1.00e+00 1.00e+00f 1 23 5.3542119e-05 9.60e-09 3.06e+00 -5.7 2.58e-03 -2.3 1.00e+00 9.87e-01f 1 24 5.4737977e-05 9.64e-09 2.12e+02 -5.7 5.84e-06 -2.8 1.00e+00 1.25e-01f 4 25 6.2157847e-05 9.89e-09 5.43e-08 -5.7 4.74e-06 -3.3 1.00e+00 1.00e+00s 22 26 2.5059330e-06 9.97e-09 2.97e+02 -8.6 7.14e-06 -3.7 1.00e+00 7.66e-01h 1 27 -1.1438300e-07 9.99e-09 1.57e+02 -8.6 2.86e-07 -4.2 1.00e+00 8.77e-01f 1 28 -6.4259826e-08 1.00e-08 2.51e-08 -8.6 4.85e-09 -4.7 1.00e+00 1.00e+00F 1 Number of Iterations....: 28 (scaled) (unscaled) Objective...............: -6.4259826194509640e-08 -6.4259826194509640e-08 Dual infeasibility......: 2.5103574330387346e-08 2.5103574330387346e-08 Constraint violation....: 9.9988721746768761e-09 9.9988721746768761e-09 Variable bound violation: 9.9988721746768761e-09 9.9988721746768761e-09 Complementarity.........: 3.2973254663160063e-08 3.2973254663160063e-08 Overall NLP error.......: 9.9988721746768761e-09 3.2973254663160063e-08 Number of objective function evaluations = 69 Number of objective gradient evaluations = 28 Number of equality constraint evaluations = 69 Number of inequality constraint evaluations = 69 Number of equality constraint Jacobian evaluations = 30 Number of inequality constraint Jacobian evaluations = 30 Number of Lagrangian Hessian evaluations = 28 Total seconds in IPOPT = 0.039 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 3 in 'test_load_1ph_delta_cp.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 22 in 'test_load_1ph_delta_cp.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 364 Number of nonzeros in inequality constraint Jacobian.: 12 Number of nonzeros in Lagrangian Hessian.............: 110 Total number of variables............................: 90 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 6 inequality constraints with only lower bounds: 3 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 2.60e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.3646095e-02 4.81e-04 2.18e-01 -1.0 4.25e-02 -2.0 1.00e+00 9.80e-01h 1 2 1.3909064e-02 6.87e-06 2.80e+00 -1.7 1.28e-03 -1.6 1.00e+00 9.86e-01h 1 3 1.3910189e-02 1.19e-05 6.47e+03 -1.7 3.75e-05 -1.1 1.00e+00 2.99e-01f 1 4 1.3912821e-02 7.18e-06 7.62e-03 -1.7 1.27e-05 -1.6 1.00e+00 1.00e+00f 1 5 1.3912819e-02 2.86e-09 5.02e-05 -3.8 1.16e-05 -2.1 1.00e+00 1.00e+00h 1 In iteration 5, 1 Slack too small, adjusting variable bound 6 1.3912819e-02 7.84e-09 3.35e+01 -8.6 2.57e-08 -2.6 1.00e+00 9.66e-01h 1 7 1.3912819e-02 9.58e-09 1.87e-06 -8.6 2.03e-09 -3.1 1.00e+00 1.00e+00s 22 8 1.3912819e-02 9.89e-09 3.47e-07 -8.6 3.25e-10 -3.5 1.00e+00 1.00e+00s 22 9 1.3912819e-02 9.96e-09 7.84e-08 -8.6 7.29e-11 -4.0 1.00e+00 1.00e+00s 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.3912819e-02 9.98e-09 1.89e-08 -8.6 1.75e-11 -4.5 1.00e+00 1.00e+00s 22 Number of Iterations....: 10 (scaled) (unscaled) Objective...............: 1.3912819457181628e-02 1.3912819457181628e-02 Dual infeasibility......: 1.8893615560955368e-08 1.8893615560955368e-08 Constraint violation....: 9.9787189622446704e-09 9.9787189622446704e-09 Variable bound violation: 9.9787189622446704e-09 9.9787189622446704e-09 Complementarity.........: 2.3762916244234359e-08 2.3762916244234359e-08 Overall NLP error.......: 9.9787189622446704e-09 2.3762916244234359e-08 Number of objective function evaluations = 36 Number of objective gradient evaluations = 11 Number of equality constraint evaluations = 36 Number of inequality constraint evaluations = 36 Number of equality constraint Jacobian evaluations = 11 Number of inequality constraint Jacobian evaluations = 11 Number of Lagrangian Hessian evaluations = 10 Total seconds in IPOPT = 0.014 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[1] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ JuMP.Containers | Warning ] : Axis contains one element: 1. If intended, you can safely ignore this warning. To explicitly pass the axis with one element, pass `[1]` instead of `1`. └ @ JuMP.Containers ~/.julia/packages/JuMP/RGIK3/src/Containers/DenseAxisArray.jl:185 ┌ JuMP.Containers | Warning ] : Axis contains one element: 1. If intended, you can safely ignore this warning. To explicitly pass the axis with one element, pass `[1]` instead of `1`. └ @ JuMP.Containers ~/.julia/packages/JuMP/RGIK3/src/Containers/DenseAxisArray.jl:185 1-dimensional DenseAxisArray{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape},1,...} with index sets: Dimension 1, [1, 2, 3] And data, a 3-element Vector{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape}}: 0_cig_1[1]*0_vr_3[1] - 0_crg_1[1]*0_vi_3[1] + 0_qg_1[1] = 0 0_cig_1[2]*0_vr_3[2] - 0_crg_1[2]*0_vi_3[2] + 0_qg_1[2] = 0 0_cig_1[3]*0_vr_3[3] - 0_crg_1[3]*0_vi_3[3] + 0_qg_1[3] = 0 1-dimensional DenseAxisArray{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape},1,...} with index sets: Dimension 1, [1, 2, 3] And data, a 3-element Vector{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape}}: -0_crg_1[1]*0_vr_3[1] - 0_cig_1[1]*0_vi_3[1] + 0_pg_1[1] = 0 -0_crg_1[2]*0_vr_3[2] - 0_cig_1[2]*0_vi_3[2] + 0_pg_1[2] = 0 -0_crg_1[3]*0_vr_3[3] - 0_cig_1[3]*0_vi_3[3] + 0_pg_1[3] = 0 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 456 Number of nonzeros in inequality constraint Jacobian.: 68 Number of nonzeros in Lagrangian Hessian.............: 62 Total number of variables............................: 126 variables with only lower bounds: 14 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 88 Total number of inequality constraints...............: 34 inequality constraints with only lower bounds: 31 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.3999986e-01 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.5540369e-01 2.96e+00 1.19e+04 -1.0 1.79e+00 -2.0 1.41e-02 1.22e-02h 1 2 1.5540407e-01 2.96e+00 1.20e+04 -1.0 1.38e+00 5.8 3.70e-02 1.30e-04h 1 3r 1.5540407e-01 2.96e+00 9.99e+02 0.5 0.00e+00 6.3 0.00e+00 3.14e-07R 6 4r 1.5942619e-01 2.94e+00 9.99e+02 0.5 3.12e+02 - 3.49e-04 1.27e-04f 1 5r 1.7169159e-01 2.85e+00 9.98e+02 0.5 3.43e+02 - 6.45e-04 3.89e-04f 1 6r 1.9467272e-01 2.59e+00 9.98e+02 0.5 4.62e+02 - 2.19e-03 7.29e-04f 1 7 1.9467284e-01 2.59e+00 4.33e+02 -1.0 1.59e+00 5.8 1.27e-02 5.23e-05h 1 8 1.9467338e-01 2.59e+00 1.83e+05 -1.0 1.84e+00 5.3 9.54e-02 1.73e-04h 1 9 1.9470251e-01 2.59e+00 1.88e+05 -1.0 1.86e+00 4.8 9.56e-03 2.25e-03h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.9500656e-01 2.55e+00 1.89e+05 -1.0 1.84e+00 4.4 4.03e-02 1.61e-02h 1 11 1.9521845e-01 2.52e+00 1.81e+05 -1.0 1.72e+00 3.9 5.03e-02 8.55e-03h 1 12 1.9530885e-01 2.52e+00 1.80e+05 -1.0 2.68e+00 3.4 6.46e-03 1.30e-03h 1 13 1.9632710e-01 2.49e+00 1.79e+05 -1.0 4.22e+00 2.9 9.17e-03 1.15e-02h 1 14 2.0199153e-01 2.20e+00 1.76e+05 -1.0 2.21e+00 3.4 1.55e-02 9.62e-02f 1 15 2.0809100e-01 2.03e+00 1.71e+05 -1.0 1.64e+00 2.9 3.31e-02 7.28e-02h 1 16 2.0835059e-01 2.03e+00 1.58e+05 -1.0 1.40e+00 2.4 6.89e-02 1.64e-03h 1 17 3.6325361e-01 3.74e-01 1.65e+05 -1.0 1.21e+00 1.9 6.03e-03 6.21e-01f 1 18 6.1691256e-01 8.78e-02 1.01e+05 -1.0 2.92e-01 1.4 3.86e-01 7.50e-01h 1 19 6.5416133e-01 7.76e-02 1.17e+04 -1.0 8.57e-02 1.0 9.66e-01 1.16e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 9.9998659e-01 3.78e-02 6.06e+03 -1.0 7.19e-02 0.5 2.27e-01 5.11e-01h 1 21 1.1759857e+00 2.36e-02 3.76e+03 -1.0 6.68e-02 0.0 4.21e-01 3.76e-01h 1 22 1.8434213e+00 5.00e-03 1.48e+03 -1.0 3.07e-01 -0.5 5.52e-01 7.87e-01h 1 23 2.3830588e+00 2.36e-03 1.24e+03 -1.0 2.94e-01 -0.9 1.00e+00 5.28e-01h 1 24 3.3062118e+00 1.38e-04 2.27e+02 -1.0 1.90e-01 -1.4 1.00e+00 9.41e-01h 1 25 3.3327775e+00 1.18e-04 4.55e+03 -1.0 2.49e-01 -1.9 7.14e-01 1.50e-01f 2 26 4.2603349e+00 1.59e-05 2.69e-02 -1.0 2.99e-01 -2.4 1.00e+00 1.00e+00h 1 27 9.1875035e-03 1.83e-09 6.20e-04 -3.8 4.35e-01 -2.8 1.00e+00 1.00e+00f 1 28 1.1705334e-04 9.34e-09 6.04e+00 -5.7 1.27e-03 -3.3 1.00e+00 9.74e-01f 1 29 9.3406435e-05 9.59e-09 1.21e+02 -5.7 2.36e-05 -3.8 1.00e+00 5.00e-01f 2 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 30 6.8724180e-05 9.85e-09 5.47e-08 -5.7 1.14e-05 -4.3 1.00e+00 1.00e+00s 22 31 7.1981063e-06 9.94e-09 3.74e+02 -8.6 7.76e-06 -4.8 1.00e+00 7.05e-01h 1 32 -2.9513452e-08 9.99e-09 1.26e+02 -8.6 7.31e-07 -5.2 9.54e-01 8.69e-01f 1 33 -4.6319706e-08 2.70e-08 8.31e+02 -8.6 5.96e-08 -5.7 1.00e+00 3.57e-01f 2 34 -9.1350536e-08 1.00e-08 2.02e+02 -8.6 2.18e-08 -6.2 5.39e-01 1.00e+00h 1 35 -9.2317696e-08 1.00e-08 2.54e-08 -8.6 3.72e-09 -6.7 1.00e+00 1.00e+00h 1 Number of Iterations....: 35 (scaled) (unscaled) Objective...............: -9.2317696037894350e-08 -9.2317696037894350e-08 Dual infeasibility......: 2.5424310740445659e-08 2.5424310740445659e-08 Constraint violation....: 9.9995944857766972e-09 9.9995944857766972e-09 Variable bound violation: 9.9995944857766972e-09 9.9995944857766972e-09 Complementarity.........: 9.8549109592846277e-09 9.8549109592846277e-09 Overall NLP error.......: 9.9995944857766972e-09 2.5424310740445659e-08 Number of objective function evaluations = 75 Number of objective gradient evaluations = 34 Number of equality constraint evaluations = 75 Number of inequality constraint evaluations = 75 Number of equality constraint Jacobian evaluations = 37 Number of inequality constraint Jacobian evaluations = 37 Number of Lagrangian Hessian evaluations = 35 Total seconds in IPOPT = 0.045 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 3 in 'test_load_3ph_delta_cp.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 22 in 'test_load_3ph_delta_cp.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 364 Number of nonzeros in inequality constraint Jacobian.: 12 Number of nonzeros in Lagrangian Hessian.............: 166 Total number of variables............................: 90 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 74 Total number of inequality constraints...............: 6 inequality constraints with only lower bounds: 3 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 3.75e-02 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.3665692e-02 8.01e-04 2.18e-01 -1.0 6.11e-02 -2.0 1.00e+00 9.80e-01h 1 2 1.3923097e-02 1.16e-05 2.80e+00 -1.7 1.91e-03 -1.6 1.00e+00 9.86e-01h 1 3 1.3924209e-02 1.19e-05 6.47e+03 -1.7 4.47e-05 -1.1 1.00e+00 2.99e-01f 1 4 1.3926806e-02 7.18e-06 7.62e-03 -1.7 1.89e-05 -1.6 1.00e+00 1.00e+00f 1 5 1.3926803e-02 2.86e-09 5.02e-05 -3.8 1.16e-05 -2.1 1.00e+00 1.00e+00h 1 In iteration 5, 1 Slack too small, adjusting variable bound 6 1.3926803e-02 7.84e-09 3.35e+01 -8.6 2.57e-08 -2.6 1.00e+00 9.66e-01h 1 7 1.3926803e-02 9.58e-09 1.87e-06 -8.6 2.03e-09 -3.1 1.00e+00 1.00e+00s 22 8 1.3926803e-02 9.89e-09 3.47e-07 -8.6 3.30e-10 -3.5 1.00e+00 1.00e+00s 22 9 1.3926803e-02 9.96e-09 7.84e-08 -8.6 7.39e-11 -4.0 1.00e+00 1.00e+00s 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.3926803e-02 9.98e-09 1.89e-08 -8.6 1.78e-11 -4.5 1.00e+00 1.00e+00s 22 Number of Iterations....: 10 (scaled) (unscaled) Objective...............: 1.3926803160099753e-02 1.3926803160099753e-02 Dual infeasibility......: 1.8894979803008027e-08 1.8894979803008027e-08 Constraint violation....: 9.9787189622446704e-09 9.9787189622446704e-09 Variable bound violation: 9.9787189622446704e-09 9.9787189622446704e-09 Complementarity.........: 2.3762926872752400e-08 2.3762926872752400e-08 Overall NLP error.......: 9.9787189622446704e-09 2.3762926872752400e-08 Number of objective function evaluations = 36 Number of objective gradient evaluations = 11 Number of equality constraint evaluations = 36 Number of inequality constraint evaluations = 36 Number of equality constraint Jacobian evaluations = 11 Number of inequality constraint Jacobian evaluations = 11 Number of Lagrangian Hessian evaluations = 10 Total seconds in IPOPT = 0.015 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[1] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ JuMP.Containers | Warning ] : Axis contains one element: 1. If intended, you can safely ignore this warning. To explicitly pass the axis with one element, pass `[1]` instead of `1`. └ @ JuMP.Containers ~/.julia/packages/JuMP/RGIK3/src/Containers/DenseAxisArray.jl:185 ┌ JuMP.Containers | Warning ] : Axis contains one element: 1. If intended, you can safely ignore this warning. To explicitly pass the axis with one element, pass `[1]` instead of `1`. └ @ JuMP.Containers ~/.julia/packages/JuMP/RGIK3/src/Containers/DenseAxisArray.jl:185 1-dimensional DenseAxisArray{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape},1,...} with index sets: Dimension 1, [1, 2, 3] And data, a 3-element Vector{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape}}: 0_cig_1[1]*0_vr_3[1] - 0_crg_1[1]*0_vi_3[1] + 0_qg_1[1] = 0 0_cig_1[2]*0_vr_3[2] - 0_crg_1[2]*0_vi_3[2] + 0_qg_1[2] = 0 0_cig_1[3]*0_vr_3[3] - 0_crg_1[3]*0_vi_3[3] + 0_qg_1[3] = 0 1-dimensional DenseAxisArray{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape},1,...} with index sets: Dimension 1, [1, 2, 3] And data, a 3-element Vector{JuMP.ConstraintRef{JuMP.Model, MathOptInterface.ConstraintIndex{MathOptInterface.ScalarQuadraticFunction{Float64}, MathOptInterface.EqualTo{Float64}}, JuMP.ScalarShape}}: -0_crg_1[1]*0_vr_3[1] - 0_cig_1[1]*0_vi_3[1] + 0_pg_1[1] = 0 -0_crg_1[2]*0_vr_3[2] - 0_cig_1[2]*0_vi_3[2] + 0_pg_1[2] = 0 -0_crg_1[3]*0_vr_3[3] - 0_cig_1[3]*0_vi_3[3] + 0_pg_1[3] = 0 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 490 Number of nonzeros in inequality constraint Jacobian.: 68 Number of nonzeros in Lagrangian Hessian.............: 78 Total number of variables............................: 130 variables with only lower bounds: 14 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 88 Total number of inequality constraints...............: 34 inequality constraints with only lower bounds: 31 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 3 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 1.3999986e-01 3.00e+00 1.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.5540418e-01 2.96e+00 1.19e+04 -1.0 1.81e+00 -2.0 1.41e-02 1.22e-02h 1 2 1.5540455e-01 2.96e+00 1.20e+04 -1.0 1.39e+00 5.8 3.69e-02 1.30e-04h 1 3r 1.5540455e-01 2.96e+00 9.99e+02 0.5 0.00e+00 6.3 0.00e+00 3.13e-07R 6 4r 1.5943119e-01 2.94e+00 9.99e+02 0.5 3.87e+02 - 2.92e-04 1.27e-04f 1 5r 1.6979278e-01 2.86e+00 9.98e+02 0.5 4.56e+02 - 9.95e-04 3.28e-04f 1 6r 2.0538525e-01 2.43e+00 9.97e+02 0.5 4.27e+02 - 2.19e-03 1.13e-03f 1 7 2.0538544e-01 2.43e+00 4.14e+02 -1.0 1.33e+00 5.8 1.80e-02 9.23e-05h 1 8 2.0538614e-01 2.42e+00 8.38e+04 -1.0 1.47e+00 5.3 6.47e-02 2.24e-04h 1 9 2.0540368e-01 2.42e+00 8.97e+04 -1.0 1.49e+00 4.8 1.55e-02 1.99e-03h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 2.0550307e-01 2.41e+00 9.60e+04 -1.0 1.47e+00 4.4 6.94e-02 5.31e-03h 1 11 2.0570032e-01 2.39e+00 9.53e+04 -1.0 1.93e+00 3.9 1.75e-02 5.24e-03h 1 12 2.0636076e-01 2.37e+00 9.29e+04 -1.0 1.91e+00 3.4 2.86e-02 1.15e-02h 1 13 2.1568857e-01 2.11e+00 8.86e+04 -1.0 1.77e+00 2.9 4.77e-02 9.64e-02f 1 14 2.4255809e-01 1.74e+00 7.54e+04 -1.0 1.60e+00 2.5 1.50e-01 1.59e-01f 1 15 2.5078711e-01 1.69e+00 5.29e+04 -1.0 8.83e-01 2.0 2.89e-01 3.17e-02h 1 16 2.9984982e-01 1.42e+00 4.37e+04 -1.0 8.78e-01 1.5 1.72e-01 1.47e-01f 1 17 3.6449384e-01 1.17e+00 4.19e+04 -1.0 6.83e-01 1.0 4.60e-02 1.71e-01f 1 18 5.3531371e-01 6.15e-01 3.75e+04 -1.0 4.66e-01 0.5 1.13e-01 4.40e-01h 1 19 6.4664343e-01 4.18e-01 2.17e+03 -1.0 2.25e-01 0.1 9.39e-01 3.12e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 8.6412283e-01 2.82e-01 8.45e+02 -1.0 1.49e-01 -0.4 9.70e-01 3.20e-01f 1 21 9.8036418e-01 2.25e-01 1.34e+03 -1.0 1.28e-01 -0.9 1.00e+00 2.02e-01f 1 22 1.3981191e+00 4.18e-02 2.61e+02 -1.0 6.84e-02 -1.4 1.00e+00 8.01e-01h 1 23 1.5542180e+00 2.03e-02 5.59e+02 -1.0 4.37e-02 -1.8 1.00e+00 5.13e-01h 1 24 1.9469218e+00 6.33e-03 4.16e+02 -1.0 9.19e-02 -2.3 1.00e+00 6.88e-01h 1 25 2.7631338e+00 2.92e-04 1.16e+02 -1.0 1.11e-01 -2.8 1.00e+00 9.53e-01h 1 26 2.9431292e+00 2.03e-04 3.58e+03 -1.0 1.16e-01 -3.3 6.06e-01 3.07e-01h 1 27 3.6050497e+00 1.01e-04 1.69e+03 -1.0 4.21e-01 -3.7 4.63e-01 5.00e-01f 2 28 4.1554444e+00 1.28e-05 5.09e-03 -1.0 1.21e-01 -4.2 1.00e+00 1.00e+00h 1 29 6.0325707e-03 1.38e-09 2.76e-05 -3.8 3.20e-01 -4.7 1.00e+00 1.00e+00f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 30 1.4252051e-04 8.43e-09 7.59e+01 -8.6 4.54e-04 -5.2 1.00e+00 9.33e-01f 1 31 1.7385406e-05 9.47e-09 3.50e+02 -8.6 1.58e-05 -5.7 1.00e+00 7.22e-01h 1 32 3.4758501e-07 9.88e-09 2.08e+02 -8.6 2.05e-06 -6.1 1.00e+00 8.36e-01f 1 33 -1.1868996e-07 9.98e-09 7.58e+01 -8.6 5.65e-08 -6.6 1.00e+00 9.40e-01f 1 34 -1.0088719e-07 9.99e-09 6.36e+02 -8.6 4.44e-09 -7.1 1.00e+00 5.00e-01f 2 35 -9.0937469e-08 1.00e-08 1.02e-08 -8.6 1.46e-09 -7.6 1.00e+00 1.00e+00s 22 Number of Iterations....: 35 (scaled) (unscaled) Objective...............: -9.0937469098405584e-08 -9.0937469098405584e-08 Dual infeasibility......: 1.0173607734031975e-08 1.0173607734031975e-08 Constraint violation....: 9.9990655755277658e-09 9.9990655755277658e-09 Variable bound violation: 9.9990655755277658e-09 9.9990655755277658e-09 Complementarity.........: 3.3013014249970054e-08 3.3013014249970054e-08 Overall NLP error.......: 9.9990655755277658e-09 3.3013014249970054e-08 Number of objective function evaluations = 67 Number of objective gradient evaluations = 34 Number of equality constraint evaluations = 67 Number of inequality constraint evaluations = 67 Number of equality constraint Jacobian evaluations = 37 Number of inequality constraint Jacobian evaluations = 37 Number of Lagrangian Hessian evaluations = 35 Total seconds in IPOPT = 0.046 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 LinDist3Flow - wls: Test Failed at /home/pkgeval/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/non_exact_forms.jl:89 Expression: isapprox(max, 0.0; atol = 1.0e-6) Evaluated: isapprox(0.0011066386793252558, 0.0; atol = 1.0e-6) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/non_exact_forms.jl:89 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/non_exact_forms.jl:50 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/non_exact_forms.jl:9 LinDist3Flow - wls: Test Failed at /home/pkgeval/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/non_exact_forms.jl:90 Expression: isapprox(avg, 0.0; atol = 1.0e-8) Evaluated: isapprox(0.0005622711742663914, 0.0; atol = 1.0e-8) Stacktrace: [1] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:679 [inlined] [2] macro expansion @ ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/non_exact_forms.jl:90 [inlined] [3] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [4] macro expansion @ ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/non_exact_forms.jl:50 [inlined] [5] macro expansion @ /opt/julia/share/julia/stdlib/v1.11/Test/src/Test.jl:1704 [inlined] [6] top-level scope @ ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/non_exact_forms.jl:9 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : va min bounds defined └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:113 ┌ PowerModelsDistributionStateEstimation | Warning ] : va max bounds defined └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:117 ┌ PowerModelsDistributionStateEstimation | Warning ] : va min bounds defined └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:113 ┌ PowerModelsDistributionStateEstimation | Warning ] : va max bounds defined └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:117 ┌ PowerModelsDistributionStateEstimation | Warning ] : va min bounds defined └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:113 ┌ PowerModelsDistributionStateEstimation | Warning ] : va max bounds defined └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:117 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in '3bus_3wire.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 37 in '3bus_3wire.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 39 in '3bus_3wire.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 431 Number of nonzeros in inequality constraint Jacobian.: 177 Number of nonzeros in Lagrangian Hessian.............: 138 Total number of variables............................: 102 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 81 Total number of inequality constraints...............: 36 inequality constraints with only lower bounds: 14 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.99e-02 1.03e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.8342502e-02 6.30e-03 3.60e+00 -1.0 1.11e-01 -4.0 1.00e+00 6.61e-01h 1 2 2.2482465e-02 4.87e-03 1.89e+01 -1.0 6.02e-02 -4.5 1.00e+00 4.37e-01h 1 3 2.5643399e-02 1.44e-03 2.91e+01 -1.0 1.45e-02 -5.0 1.00e+00 5.95e-01h 1 4 2.6912166e-02 7.97e-04 6.59e+01 -1.0 1.20e-02 -5.4 1.00e+00 5.88e-01h 1 5 2.7430900e-02 2.46e-04 1.60e+02 -1.0 2.38e-03 -5.9 1.00e+00 5.84e-01h 1 6 2.7647736e-02 1.37e-04 3.82e+02 -1.0 2.05e-03 -6.4 1.00e+00 5.86e-01h 1 7 2.7737134e-02 4.22e-05 9.26e+02 -1.0 4.09e-04 -6.9 1.00e+00 5.86e-01h 1 8 2.7774266e-02 2.34e-05 2.23e+03 -1.0 3.52e-04 -7.3 1.00e+00 5.86e-01h 1 9 2.7789617e-02 7.22e-06 5.38e+03 -1.0 7.02e-05 -7.8 1.00e+00 5.86e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 2.7792802e-02 5.10e-06 2.21e+04 -1.0 6.02e-05 -8.3 1.00e+00 2.93e-01f 2 11 2.7798969e-02 1.33e-06 1.15e+04 -1.0 3.50e-05 -8.8 1.00e+00 8.04e-01h 1 12 2.7799325e-02 8.62e-07 1.49e+05 -1.0 3.27e-06 -9.2 1.00e+00 2.38e-01f 2 13 2.7800291e-02 1.17e-07 5.93e+04 -1.0 4.33e-06 -9.7 1.00e+00 8.46e-01h 1 14 2.7800331e-02 9.10e-08 1.09e+06 -1.0 1.16e-06 -10.2 1.00e+00 2.25e-01f 2 15 2.7800467e-02 3.25e-10 9.23e+03 -1.0 6.00e-07 -10.7 1.00e+00 9.96e-01h 1 16 2.7800467e-02 2.18e-10 6.09e+06 -1.0 5.04e-08 -11.2 1.00e+00 3.29e-01f 2 17 2.7800468e-02 9.37e-17 1.76e-03 -1.0 2.48e-09 -11.6 1.00e+00 1.00e+00h 1 18 2.7800468e-02 4.44e-16 1.27e+07 -8.6 1.59e-11 -12.1 1.00e+00 1.53e-05h 17 19 2.7800468e-02 1.11e-16 1.70e-04 -8.6 6.63e-11 -12.6 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 2.7800468e-02 1.11e-16 2.51e-14 -8.6 2.43e-11 -13.1 1.00e+00 1.00e+00h 1 Number of Iterations....: 20 (scaled) (unscaled) Objective...............: 2.7800467711659484e-02 2.7800467711659484e-02 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 1.1102230246251565e-16 1.1102230246251565e-16 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059046758496295e-09 2.5059046758496295e-09 Overall NLP error.......: 2.5059046758496295e-09 2.5059046758496295e-09 Number of objective function evaluations = 42 Number of objective gradient evaluations = 21 Number of equality constraint evaluations = 42 Number of inequality constraint evaluations = 42 Number of equality constraint Jacobian evaluations = 21 Number of inequality constraint Jacobian evaluations = 21 Number of Lagrangian Hessian evaluations = 20 Total seconds in IPOPT = 0.028 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[3] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[3] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 437 Number of nonzeros in inequality constraint Jacobian.: 129 Number of nonzeros in Lagrangian Hessian.............: 30 Total number of variables............................: 132 variables with only lower bounds: 24 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 81 Total number of inequality constraints...............: 66 inequality constraints with only lower bounds: 53 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 13 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.3999976e-01 4.40e-02 5.54e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 4.3199980e-01 1.70e-03 5.93e-01 -1.7 1.16e-01 -4.0 1.00e+00 7.59e-01h 1 2 4.9367720e-01 6.98e-03 1.40e+00 -1.7 2.61e-02 -4.5 5.51e-01 4.55e-01h 1 3 5.9105613e-01 4.79e-04 7.18e+00 -1.7 2.21e-02 -5.0 1.00e+00 5.63e-01h 1 4 7.8228308e-01 5.89e-04 2.01e+01 -1.7 2.51e-02 -5.4 1.00e+00 5.82e-01h 1 5 9.9979861e-01 9.62e-05 4.64e+01 -1.7 2.76e-02 -5.9 1.00e+00 5.81e-01h 1 6 1.2253093e+00 3.81e-05 9.86e+01 -1.7 2.37e-02 -6.4 1.00e+00 6.01e-01h 1 7 1.3536289e+00 1.59e-05 2.49e+02 -1.7 2.02e-02 -6.9 1.00e+00 5.85e-01h 1 8 1.4039952e+00 6.55e-06 5.98e+02 -1.7 7.39e-03 -7.3 1.00e+00 5.87e-01h 1 9 1.4250886e+00 2.72e-06 1.45e+03 -1.7 3.16e-03 -7.8 1.00e+00 5.86e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 1.4338237e+00 1.12e-06 3.48e+03 -1.7 1.30e-03 -8.3 1.00e+00 5.87e-01h 1 11 1.4356334e+00 3.18e-07 1.43e+04 -1.7 5.37e-04 -8.8 1.00e+00 2.94e-01f 2 12 1.4391468e+00 1.46e-07 7.17e+03 -1.7 3.79e-04 -9.2 1.00e+00 8.10e-01h 1 13 1.4393465e+00 2.42e-08 9.35e+04 -1.7 7.20e-05 -9.7 1.00e+00 2.42e-01f 2 14 1.4399016e+00 1.16e-08 2.61e+04 -1.7 5.46e-05 -10.2 1.00e+00 8.89e-01h 1 15 1.4399195e+00 1.54e-11 5.57e+05 -1.7 6.06e-06 -10.7 1.00e+00 2.60e-01f 2 16 1.4399708e+00 1.11e-16 2.00e-07 -1.7 4.49e-06 -11.2 1.00e+00 1.00e+00h 1 17 2.4092555e-04 1.11e-16 1.45e+02 -5.7 6.00e-02 -11.6 1.00e+00 1.00e+00f 1 18 1.0637588e-04 4.04e-10 5.70e-10 -5.7 5.70e-06 -12.1 1.00e+00 1.00e+00f 1 19 1.1352387e-05 1.15e-10 1.92e+01 -8.6 5.55e-06 -12.6 1.00e+00 7.60e-01f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 5.6560520e-06 1.22e-08 2.34e+01 -8.6 1.29e-06 -13.1 2.74e-01 3.76e-01f 1 21 2.9006762e-06 8.36e-09 1.11e+02 -8.6 7.73e-07 -13.5 1.45e-01 3.15e-01f 1 22 1.2167892e-06 5.75e-09 6.65e+01 -8.6 6.45e-07 -14.0 2.32e-01 3.12e-01f 1 23 -8.4697623e-08 2.62e-09 5.72e+01 -8.6 2.16e-07 -14.5 2.04e-01 5.45e-01f 1 24 -2.0432393e-07 7.25e-10 1.38e+01 -8.6 1.78e-08 -15.0 7.55e-01 7.23e-01f 1 25 -1.8624890e-07 2.63e-10 5.30e+00 -8.6 3.57e-08 -15.5 3.06e-01 6.37e-01f 1 26 -1.7852933e-07 1.04e-15 7.12e+00 -8.6 1.77e-08 -15.9 5.04e-01 1.00e+00f 1 27 -1.7966688e-07 5.52e-16 2.00e-10 -8.6 1.72e-09 -16.4 1.00e+00 1.00e+00h 1 Number of Iterations....: 27 (scaled) (unscaled) Objective...............: -1.7966688039278131e-07 -1.7966688039278131e-07 Dual infeasibility......: 2.0008644741054127e-10 2.0008644741054127e-10 Constraint violation....: 5.5194207410112423e-16 5.5194207410112423e-16 Variable bound violation: 7.5692110510876764e-09 7.5692110510876764e-09 Complementarity.........: 4.8365993076254019e-09 4.8365993076254019e-09 Overall NLP error.......: 4.8365993076254019e-09 4.8365993076254019e-09 Number of objective function evaluations = 31 Number of objective gradient evaluations = 28 Number of equality constraint evaluations = 31 Number of inequality constraint evaluations = 31 Number of equality constraint Jacobian evaluations = 28 Number of inequality constraint Jacobian evaluations = 28 Number of Lagrangian Hessian evaluations = 27 Total seconds in IPOPT = 0.040 EXIT: Optimal Solution Found. [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in '3bus_3wire.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 37 in '3bus_3wire.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 39 in '3bus_3wire.dss' is not supported, skipping. This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 431 Number of nonzeros in inequality constraint Jacobian.: 177 Number of nonzeros in Lagrangian Hessian.............: 138 Total number of variables............................: 102 variables with only lower bounds: 0 variables with lower and upper bounds: 6 variables with only upper bounds: 0 Total number of equality constraints.................: 81 Total number of inequality constraints...............: 36 inequality constraints with only lower bounds: 14 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 22 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 0.0000000e+00 1.99e-02 1.03e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 1.8342502e-02 6.30e-03 3.60e+00 -1.0 1.11e-01 -4.0 1.00e+00 6.61e-01h 1 2 2.2482465e-02 4.87e-03 1.89e+01 -1.0 6.02e-02 -4.5 1.00e+00 4.37e-01h 1 3 2.5643399e-02 1.44e-03 2.91e+01 -1.0 1.45e-02 -5.0 1.00e+00 5.95e-01h 1 4 2.6912166e-02 7.97e-04 6.59e+01 -1.0 1.20e-02 -5.4 1.00e+00 5.88e-01h 1 5 2.7430900e-02 2.46e-04 1.60e+02 -1.0 2.38e-03 -5.9 1.00e+00 5.84e-01h 1 6 2.7647736e-02 1.37e-04 3.82e+02 -1.0 2.05e-03 -6.4 1.00e+00 5.86e-01h 1 7 2.7737134e-02 4.22e-05 9.26e+02 -1.0 4.09e-04 -6.9 1.00e+00 5.86e-01h 1 8 2.7774266e-02 2.34e-05 2.23e+03 -1.0 3.52e-04 -7.3 1.00e+00 5.86e-01h 1 9 2.7789617e-02 7.22e-06 5.38e+03 -1.0 7.02e-05 -7.8 1.00e+00 5.86e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 2.7792802e-02 5.10e-06 2.21e+04 -1.0 6.02e-05 -8.3 1.00e+00 2.93e-01f 2 11 2.7798969e-02 1.33e-06 1.15e+04 -1.0 3.50e-05 -8.8 1.00e+00 8.04e-01h 1 12 2.7799325e-02 8.62e-07 1.49e+05 -1.0 3.27e-06 -9.2 1.00e+00 2.38e-01f 2 13 2.7800291e-02 1.17e-07 5.93e+04 -1.0 4.33e-06 -9.7 1.00e+00 8.46e-01h 1 14 2.7800331e-02 9.10e-08 1.09e+06 -1.0 1.16e-06 -10.2 1.00e+00 2.25e-01f 2 15 2.7800467e-02 3.25e-10 9.23e+03 -1.0 6.00e-07 -10.7 1.00e+00 9.96e-01h 1 16 2.7800467e-02 2.18e-10 6.09e+06 -1.0 5.04e-08 -11.2 1.00e+00 3.29e-01f 2 17 2.7800468e-02 9.37e-17 1.76e-03 -1.0 2.48e-09 -11.6 1.00e+00 1.00e+00h 1 18 2.7800468e-02 4.44e-16 1.27e+07 -8.6 1.59e-11 -12.1 1.00e+00 1.53e-05h 17 19 2.7800468e-02 1.11e-16 1.70e-04 -8.6 6.63e-11 -12.6 1.00e+00 1.00e+00h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 2.7800468e-02 1.11e-16 2.51e-14 -8.6 2.43e-11 -13.1 1.00e+00 1.00e+00h 1 Number of Iterations....: 20 (scaled) (unscaled) Objective...............: 2.7800467711659484e-02 2.7800467711659484e-02 Dual infeasibility......: 2.5091040356528538e-14 2.5091040356528538e-14 Constraint violation....: 1.1102230246251565e-16 1.1102230246251565e-16 Variable bound violation: 0.0000000000000000e+00 0.0000000000000000e+00 Complementarity.........: 2.5059046758496295e-09 2.5059046758496295e-09 Overall NLP error.......: 2.5059046758496295e-09 2.5059046758496295e-09 Number of objective function evaluations = 42 Number of objective gradient evaluations = 21 Number of equality constraint evaluations = 42 Number of inequality constraint evaluations = 42 Number of equality constraint Jacobian evaluations = 21 Number of inequality constraint Jacobian evaluations = 21 Number of Lagrangian Hessian evaluations = 20 Total seconds in IPOPT = 0.027 EXIT: Optimal Solution Found. ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[3] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[3] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : consrtained minimum angle vamin at 0.0 for bus 3 to be less than atan(0_vi_3[1], 0_vr_3[1]) └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:229 ┌ PowerModelsDistributionStateEstimation | Warning ] : consrtained maximum angle vamax at 0.0 for bus 3 to be greater than atan(0_vi_3[1], 0_vr_3[1]) └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:234 ┌ PowerModelsDistributionStateEstimation | Warning ] : consrtained minimum angle vamin at -2.10108494941609 for bus 3 to be less than atan(0_vi_3[2], 0_vr_3[2]) └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:229 ┌ PowerModelsDistributionStateEstimation | Warning ] : consrtained maximum angle vamax at -2.076941809873252 for bus 3 to be greater than atan(0_vi_3[2], 0_vr_3[2]) └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:234 ┌ PowerModelsDistributionStateEstimation | Warning ] : consrtained minimum angle vamin at 2.079559803751244 for bus 3 to be less than atan(0_vi_3[3], 0_vr_3[3]) └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:229 ┌ PowerModelsDistributionStateEstimation | Warning ] : consrtained maximum angle vamax at 2.079559803751244 for bus 3 to be greater than atan(0_vi_3[3], 0_vr_3[3]) └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/constraint.jl:234 This is Ipopt version 3.14.17, running with linear solver MUMPS 5.7.3. Number of nonzeros in equality constraint Jacobian...: 437 Number of nonzeros in inequality constraint Jacobian.: 141 Number of nonzeros in Lagrangian Hessian.............: 48 Total number of variables............................: 132 variables with only lower bounds: 24 variables with lower and upper bounds: 0 variables with only upper bounds: 0 Total number of equality constraints.................: 81 Total number of inequality constraints...............: 72 inequality constraints with only lower bounds: 56 inequality constraints with lower and upper bounds: 0 inequality constraints with only upper bounds: 16 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 0 2.3999976e-01 6.09e-02 5.55e-01 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0 1 3.7577163e-01 1.91e-02 1.17e+00 -1.7 1.12e-01 -4.0 1.00e+00 5.36e-01h 1 2 4.3662406e-01 1.23e-02 9.51e+00 -1.7 5.00e-02 -4.5 1.00e+00 3.69e-01h 1 3 4.6037744e-01 1.13e-02 4.28e+01 -1.7 7.96e-02 -5.0 2.73e-01 9.38e-02h 1 4 7.1230280e-01 8.11e-03 3.17e+01 -1.7 4.66e-01 -5.4 6.37e-01 3.81e-01h 1 5 8.1288621e-01 7.52e-03 1.08e+02 -1.7 2.25e-01 -5.9 2.87e-01 1.42e-01h 1 6 1.3111819e+00 7.05e-03 4.56e+01 -1.7 7.83e-01 -6.4 1.39e-01 2.34e-01h 1 7 1.6366480e+00 6.10e-03 2.77e+01 -1.7 4.97e-01 -6.9 1.30e-01 1.46e-01h 1 8 2.2302821e+00 4.60e-03 3.05e+01 -1.7 1.15e+00 -7.3 4.13e-01 2.27e-01h 1 9 3.6369551e+00 1.64e-03 4.03e+01 -1.7 8.23e-01 -7.8 1.79e-01 6.07e-01h 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 10 4.2111099e+00 5.16e-04 2.70e+01 -1.7 3.10e-01 -8.3 1.00e+00 5.84e-01h 1 11 4.4604067e+00 2.03e-04 1.16e+02 -1.7 7.81e-02 -8.8 1.00e+00 4.86e-01h 1 12 4.6885434e+00 6.15e-05 1.55e+02 -1.7 3.04e-02 -9.2 1.00e+00 6.46e-01h 1 13 4.7466749e+00 3.22e-05 4.87e+02 -1.7 8.65e-03 -9.7 1.00e+00 5.64e-01h 1 14 4.7768735e+00 1.09e-05 1.07e+03 -1.7 4.35e-03 -10.2 1.00e+00 5.96e-01h 1 15 4.7877717e+00 5.42e-06 2.68e+03 -1.7 1.64e-03 -10.7 1.00e+00 5.83e-01h 1 16 4.7928030e+00 1.85e-06 6.31e+03 -1.7 7.32e-04 -11.2 1.00e+00 5.90e-01h 1 17 4.7932759e+00 1.62e-06 3.14e+04 -1.7 2.81e-04 -11.6 1.00e+00 1.48e-01f 3 18 4.7954492e+00 4.13e-07 1.47e+04 -1.7 2.37e-04 -12.1 1.00e+00 7.79e-01h 1 19 4.7954957e+00 3.78e-07 1.50e+05 -1.7 5.76e-05 -12.6 1.00e+00 7.00e-02f 4 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 20 4.7959810e+00 4.97e-08 5.77e+04 -1.7 5.03e-05 -13.1 1.00e+00 8.05e-01h 1 21 4.7959988e+00 4.29e-08 4.72e+05 -1.7 9.73e-06 -13.5 1.00e+00 1.67e-01f 3 22 4.7960917e+00 1.11e-16 2.00e-07 -1.7 7.95e-06 -14.0 1.00e+00 1.00e+00h 1 23 3.8580416e+00 5.72e-14 2.01e+05 -5.7 8.32e-02 -14.5 9.64e-01 8.07e-01f 1 24 3.7037381e+00 5.56e-11 3.53e+04 -5.7 1.58e-02 -15.0 9.96e-01 8.56e-01f 1 25 3.6810236e+00 4.31e-12 2.75e+03 -5.7 2.42e-03 -15.5 9.83e-01 9.23e-01f 1 26 3.6799509e+00 1.57e-12 1.03e+03 -5.7 1.33e-04 -15.9 9.11e-01 6.28e-01f 1 27 3.6793980e+00 8.31e-13 3.34e+01 -5.7 9.36e-05 -16.4 5.79e-01 1.00e+00f 1 28 3.6793536e+00 2.49e-10 1.72e-05 -5.7 6.30e-05 -16.9 1.00e+00 1.00e+00f 1 29 3.6792862e+00 1.27e-10 1.65e+01 -8.6 1.05e-05 -17.4 8.50e-01 7.60e-01f 1 iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls 30 3.6792765e+00 1.94e-09 1.94e+01 -8.6 2.29e-06 -17.8 6.96e-01 5.04e-01f 1 31 3.6792718e+00 6.53e-10 1.45e+01 -8.6 6.09e-07 -18.3 7.88e-01 6.64e-01f 1 In iteration 31, 1 Slack too small, adjusting variable bound 32 3.6792703e+00 2.88e-11 1.79e+00 -8.6 4.34e-07 -18.8 8.46e-01 9.57e-01f 1 In iteration 32, 1 Slack too small, adjusting variable bound 33 3.6792703e+00 1.54e-12 1.77e-01 -8.6 4.60e-08 -19.3 1.00e+00 9.47e-01h 1 34 3.6792703e+00 1.11e-16 8.23e-11 -8.6 5.88e-09 -19.7 1.00e+00 1.00e+00h 1 Number of Iterations....: 34 (scaled) (unscaled) Objective...............: 3.6792702751486721e+00 3.6792702751486721e+00 Dual infeasibility......: 8.2305717796771205e-11 8.2305717796771205e-11 Constraint violation....: 1.1102230246251565e-16 1.1102230246251565e-16 Variable bound violation: 7.4896043592331372e-09 7.4896043592331372e-09 Complementarity.........: 2.5655640298024580e-09 2.5655640298024580e-09 Overall NLP error.......: 2.5655640298024580e-09 2.5655640298024580e-09 Number of objective function evaluations = 42 Number of objective gradient evaluations = 35 Number of equality constraint evaluations = 42 Number of inequality constraint evaluations = 42 Number of equality constraint Jacobian evaluations = 35 Number of inequality constraint Jacobian evaluations = 35 Number of Lagrangian Hessian evaluations = 34 Total seconds in IPOPT = 0.051 EXIT: Optimal Solution Found. [warn | PowerModels]: The last 5 generator cost records will be ignored due to too few generator records. [warn | PowerModels]: reversing the orientation of branch 6 (4, 3) to be consistent with other parallel branches [warn | PowerModels]: bus 3 has an unrecongized bus_type 0, updating to bus_type 2 [warn | PowerModels]: the voltage setpoint on generator 4 does not match the value at bus 4 [warn | PowerModels]: the voltage setpoint on generator 1 does not match the value at bus 1 [warn | PowerModels]: the voltage setpoint on generator 5 does not match the value at bus 10 [warn | PowerModels]: the voltage setpoint on generator 2 does not match the value at bus 1 [warn | PowerModels]: the voltage setpoint on generator 3 does not match the value at bus 3 [info | PowerModels]: removing 1 cost terms from generator 4: [4000.0, 0.0] [info | PowerModels]: removing 1 cost terms from generator 1: [1400.0, 0.0] [info | PowerModels]: removing 1 cost terms from generator 5: [1000.0, 0.0] [info | PowerModels]: removing 1 cost terms from generator 2: [1500.0, 0.0] [info | PowerModels]: removing 1 cost terms from generator 3: [3000.0, 0.0] [ PowerModelsDistribution | Info ] : This function is not meant to be an officially supported method for creating reasonable multiconductor data sets ┌ PowerModelsDistributionStateEstimation | Warning ] : Measurement for bus[4] already present in the dataframe └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/io/measurement_parser.jl:190 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in 'case3_unbalanced.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 35 in 'case3_unbalanced.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 37 in 'case3_unbalanced.dss' is not supported, skipping. ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 [ PowerModelsDistribution | Info ] : Circuit has been reset with the 'clear' on line 1 in 'case3_unbalanced.dss' [ PowerModelsDistribution | Info ] : Command 'calcvoltagebases' on line 35 in 'case3_unbalanced.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : Command 'solve' on line 37 in 'case3_unbalanced.dss' is not supported, skipping. ┌ PowerModelsDistributionStateEstimation | Warning ] : p is not in Dict{String, Any}("qf" => [0.006189753500638576, 0.006072071557951484, 0.006029386093204811], "qt" => [-0.006, -0.006, -0.006], "pt" => [-0.018000000000000002, -0.012, -0.012], "pf" => [0.018296980306905748, 0.012079253022713968, 0.012141980973851626]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 [ PowerModelsDistribution | Info ] : Redirecting to 'LineCode.txt' on line 3 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Lines.txt' on line 5 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Transformers.txt' on line 6 in 'Master.dss' [ PowerModelsDistribution | Info ] : Redirecting to 'Loads.dss' on line 7 in 'Master.dss' [ PowerModelsDistribution | Info ] : Command 'solve' on line 9 in 'Master.dss' is not supported, skipping. [ PowerModelsDistribution | Info ] : basemva=100 is the default value, you may want to adjust sbase_default for better convergence ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-2.1988757083910046e-6], "crd_bus" => [2.8996984159686764e-7], "pd_bus" => [-4.41486473e-6], "qd" => [-2.1988757083910046e-6], "cid_bus" => [-4.898781082114731e-6], "pd" => [-4.4148647300000005e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-2.1283191441640305e-6], "crd_bus" => [-1.5537820068798887e-6], "pd_bus" => [-1.5617294599999989e-6], "qd" => [-2.1283191441640305e-6], "cid_bus" => [2.114543490396447e-6], "pd" => [-1.5617294599999989e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-2.110833149768516e-6], "crd_bus" => [-1.497710598034573e-6], "pd_bus" => [-1.5057294600000006e-6], "qd" => [-2.110833149768516e-6], "cid_bus" => [2.0958883317607604e-6], "pd" => [-1.5057294600000006e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-4.362154928191139e-6], "crd_bus" => [8.134390218049685e-6], "pd_bus" => [-8.71572946e-6], "qd" => [-4.362154928191138e-6], "cid_bus" => [5.361053535043948e-6], "pd" => [-8.71572946e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-2.2394681953805933e-6], "crd_bus" => [4.214278149268692e-6], "pd_bus" => [-4.544864729999999e-6], "qd" => [-2.239468195380594e-6], "cid_bus" => [2.8156782552482056e-6], "pd" => [-4.54486473e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-5.621771024468097e-6], "crd_bus" => [-1.2664790121294888e-5], "pd_bus" => [-1.2749729460000002e-5], "qd" => [-5.621771024468096e-6], "cid_bus" => [5.575237102998863e-6], "pd" => [-1.274972946e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-2.7328230372540675e-6], "crd_bus" => [5.428127329024478e-6], "pd_bus" => [-6.124864729999999e-6], "qd" => [-2.7328230372540675e-6], "cid_bus" => [3.935366856188687e-6], "pd" => [-6.124864729999999e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-5.533092052890837e-6], "crd_bus" => [1.390074616566924e-6], "pd_bus" => [-1.2465729459999998e-5], "qd" => [-5.533092052890838e-6], "cid_bus" => [-1.347910015751133e-5], "pd" => [-1.246572946e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-2.1988757083910046e-6], "crd_bus" => [2.8996984159686764e-7], "pd_bus" => [-4.41486473e-6], "qd" => [-2.1988757083910046e-6], "cid_bus" => [-4.898781082114731e-6], "pd" => [-4.4148647300000005e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-3.3534226905439174e-6], "crd_bus" => [6.633467565743185e-6], "pd_bus" => [-7.4555809100000015e-6], "qd" => [-3.3534226905439166e-6], "cid_bus" => [4.777891495776873e-6], "pd" => [-7.455580910000001e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-2.110833149768516e-6], "crd_bus" => [-1.497710598034573e-6], "pd_bus" => [-1.5057294600000006e-6], "qd" => [-2.110833149768516e-6], "cid_bus" => [2.0958883317607604e-6], "pd" => [-1.5057294600000006e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : vm is not in Dict{String, Any}("vi" => [0.0003300449450050481, -0.8660911156831717, 0.8685324485906285], "vr" => [1.0024376528291503, -0.5002103791212773, -0.5004444226963453]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-1.1576089526622288e-6], "crd_bus" => [-1.6396054413686894e-6], "pd_bus" => [-1.6431080000000002e-6], "qd" => [-1.1576089526622288e-6], "cid_bus" => [1.154462764550217e-6], "pd" => [-1.643108e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-2.7328230372540675e-6], "crd_bus" => [5.428127329024478e-6], "pd_bus" => [-6.124864729999999e-6], "qd" => [-2.7328230372540675e-6], "cid_bus" => [3.935366856188687e-6], "pd" => [-6.124864729999999e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-4.203838274533726e-6], "crd_bus" => [8.405210004446045e-6], "pd_bus" => [-9.522297099999999e-6], "qd" => [-4.203838274533726e-6], "cid_bus" => [6.1430167356459386e-6], "pd" => [-9.5222971e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-5.631138521465692e-6], "crd_bus" => [-1.2707016195540504e-5], "pd_bus" => [-1.277972946e-5], "qd" => [-5.631138521465693e-6], "cid_bus" => [5.589831291938953e-6], "pd" => [-1.277972946e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-5.621771024468097e-6], "crd_bus" => [-1.2664790121294888e-5], "pd_bus" => [-1.2749729460000002e-5], "qd" => [-5.621771024468096e-6], "cid_bus" => [5.575237102998863e-6], "pd" => [-1.274972946e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-4.895630905005316e-6], "crd_bus" => [1.2810829026043567e-6], "pd_bus" => [-1.1081013280000002e-5], "qd" => [-4.895630905005315e-6], "cid_bus" => [-1.2005777743282506e-5], "pd" => [-1.1081013280000002e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-5.631138521465692e-6], "crd_bus" => [-1.2707016195540504e-5], "pd_bus" => [-1.277972946e-5], "qd" => [-5.631138521465693e-6], "cid_bus" => [5.589831291938953e-6], "pd" => [-1.277972946e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-4.203838274533726e-6], "crd_bus" => [8.405210004446045e-6], "pd_bus" => [-9.522297099999999e-6], "qd" => [-4.203838274533726e-6], "cid_bus" => [6.1430167356459386e-6], "pd" => [-9.5222971e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-1.1576089526622288e-6], "crd_bus" => [-1.6396054413686894e-6], "pd_bus" => [-1.6431080000000002e-6], "qd" => [-1.1576089526622288e-6], "cid_bus" => [1.154462764550217e-6], "pd" => [-1.643108e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-3.3534226905439174e-6], "crd_bus" => [6.633467565743185e-6], "pd_bus" => [-7.4555809100000015e-6], "qd" => [-3.3534226905439166e-6], "cid_bus" => [4.777891495776873e-6], "pd" => [-7.455580910000001e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-2.8157283628818144e-6], "crd_bus" => [-5.717627665765902e-6], "pd_bus" => [-5.733580910000001e-6], "qd" => [-2.8157283628818144e-6], "cid_bus" => [2.8061522528523734e-6], "pd" => [-5.733580910000001e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-4.895630905005316e-6], "crd_bus" => [1.2810829026043567e-6], "pd_bus" => [-1.1081013280000002e-5], "qd" => [-4.895630905005315e-6], "cid_bus" => [-1.2005777743282506e-5], "pd" => [-1.1081013280000002e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-2.8157283628818144e-6], "crd_bus" => [-5.717627665765902e-6], "pd_bus" => [-5.733580910000001e-6], "qd" => [-2.8157283628818144e-6], "cid_bus" => [2.8061522528523734e-6], "pd" => [-5.733580910000001e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-5.533092052890837e-6], "crd_bus" => [1.390074616566924e-6], "pd_bus" => [-1.2465729459999998e-5], "qd" => [-5.533092052890838e-6], "cid_bus" => [-1.347910015751133e-5], "pd" => [-1.246572946e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-5.275173635556985e-6], "crd_bus" => [1.2046182316207456e-6], "pd_bus" => [-1.163972946e-5], "qd" => [-5.275173635556985e-6], "cid_bus" => [-1.2640479867615348e-5], "pd" => [-1.163972946e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [5.343361522025697e-6], "crd_bus" => [-1.4853517660525992e-5], "pd_bus" => [2.0396419090000007e-5], "qd" => [5.343361522025696e-6], "cid_bus" => [-1.5018359826908166e-5], "pd" => [2.0396419090000004e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-2.2394681953805933e-6], "crd_bus" => [4.214278149268692e-6], "pd_bus" => [-4.544864729999999e-6], "qd" => [-2.239468195380594e-6], "cid_bus" => [2.8156782552482056e-6], "pd" => [-4.54486473e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [5.343361522025697e-6], "crd_bus" => [-1.4853517660525992e-5], "pd_bus" => [2.0396419090000007e-5], "qd" => [5.343361522025696e-6], "cid_bus" => [-1.5018359826908166e-5], "pd" => [2.0396419090000004e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-5.275173635556985e-6], "crd_bus" => [1.2046182316207456e-6], "pd_bus" => [-1.163972946e-5], "qd" => [-5.275173635556985e-6], "cid_bus" => [-1.2640479867615348e-5], "pd" => [-1.163972946e-5]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : cid is not in Dict{String, Any}("qd_bus" => [-4.362154928191139e-6], "crd_bus" => [8.134390218049685e-6], "pd_bus" => [-8.71572946e-6], "qd" => [-4.362154928191138e-6], "cid_bus" => [5.361053535043948e-6], "pd" => [-8.71572946e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : crd is not in Dict{String, Any}("qd_bus" => [-2.1283191441640305e-6], "crd_bus" => [-1.5537820068798887e-6], "pd_bus" => [-1.5617294599999989e-6], "qd" => [-2.1283191441640305e-6], "cid_bus" => [2.114543490396447e-6], "pd" => [-1.5617294599999989e-6]), possible formulation mismatch └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/core/start_values_methods.jl:37 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 ┌ PowerModelsDistributionStateEstimation | Warning ] : Estimation criterion set to default value, edit data dictionary if you wish to change it. └ @ PowerModelsDistributionStateEstimation ~/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/src/prob/se.jl:59 Test Summary: | Pass Fail Total Time PowerModelsDistributionStateEstimation | 260 2 262 19m06.5s chi-square-analysis | 7 7 6m55.8s h_functions | 48 48 1m36.9s BadData_matrices_and_LNR | 4 4 55.6s Distributions | 27 27 4.8s test different estimation criteria | 15 15 33.3s IVR three-wire model | 1 1 34.2s IVR three-wire - SM_ind measurements | 1 1 28.3s Explicit Neutral Models | 12 12 1m06.2s Mixed measurements (vs pf) | 24 24 1m24.1s test SDP and LinDist3Flow | 4 2 6 59.5s LinDist3Flow - rwlav | 2 2 51.5s LinDist3Flow - wls | 2 2 7.5s LinDist3Flow - rwlav | 2 2 0.5s Benchmark vs power flow | 24 24 59.5s Add pseudo + measurements, run mixed SE | 22 22 10.0s Angular Reference Models | 12 12 22.2s test cases where some connections have less than 3 conductors | 5 5 15.9s utils and start value methods | 30 30 1.4s Measurements with errors - comparison between formulations | 24 24 1m53.9s ERROR: LoadError: Some tests did not pass: 260 passed, 2 failed, 0 errored, 0 broken. in expression starting at /home/pkgeval/.julia/packages/PowerModelsDistributionStateEstimation/Mzo4T/test/runtests.jl:38 Testing failed after 1267.82s ERROR: LoadError: Package PowerModelsDistributionStateEstimation errored during testing Stacktrace: [1] pkgerror(msg::String) @ Pkg.Types /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Types.jl:68 [2] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, julia_args::Cmd, test_args::Cmd, test_fn::Nothing, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool) @ Pkg.Operations /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2124 [3] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/Operations.jl:2007 [inlined] [4] test(ctx::Pkg.Types.Context, pkgs::Vector{Pkg.Types.PackageSpec}; coverage::Bool, test_fn::Nothing, julia_args::Cmd, test_args::Cmd, force_latest_compatible_version::Bool, allow_earlier_backwards_compatible_versions::Bool, allow_reresolve::Bool, kwargs::@Kwargs{io::IOContext{IO}}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:481 [5] test(pkgs::Vector{Pkg.Types.PackageSpec}; io::IOContext{IO}, kwargs::@Kwargs{julia_args::Cmd}) @ Pkg.API /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:159 [6] test @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:147 [inlined] [7] #test#74 @ /opt/julia/share/julia/stdlib/v1.11/Pkg/src/API.jl:146 [inlined] [8] top-level scope @ /PkgEval.jl/scripts/evaluate.jl:219 in expression starting at /PkgEval.jl/scripts/evaluate.jl:210 PkgEval failed after 2170.61s: package has test failures