Lightsim2grid 0.8.1 and grid2op 1.10.1 ====================================== l2rpn_case14_sandbox --------------------- Configuration: - date: 2024-03-25 17:53 CET - system: Linux 5.15.0-56-generic - OS: ubuntu 20.04 - processor: Intel(R) Core(TM) i7-6820HQ CPU @ 2.70GHz - python version: 3.10.13.final.0 (64 bit) - numpy version: 1.23.5 - pandas version: 2.2.1 - pandapower version: 2.13.1 - grid2op version: 1.10.1 - lightsim2grid version: 0.8.1 - lightsim2grid extra information: - klu_solver_available: True - nicslu_solver_available: True - cktso_solver_available: True - compiled_march_native: True - compiled_o3_optim: True ==================== ====================== =================================== ============================ case14_sandbox grid2op speed (it/s) grid2op 'backend.runpf' time (ms) solver powerflow time (ms) ==================== ====================== =================================== ============================ PP 46.3 18.4 6.57 GS 757 0.474 0.378 GS synch 769 0.445 0.348 NR single (SLU) 960 0.184 0.0831 NR (SLU) 952 0.189 0.0819 NR single (KLU) 1030 0.12 0.0221 NR (KLU) 1030 0.118 0.0202 NR single (NICSLU *) 1020 0.121 0.022 NR (NICSLU *) 1020 0.119 0.02 NR single (CKTSO *) 1020 0.119 0.0211 NR (CKTSO *) 989 0.121 0.0192 FDPF XB (SLU) 1010 0.13 0.032 FDPF BX (SLU) 1010 0.143 0.0451 FDPF XB (KLU) 1020 0.124 0.0263 FDPF BX (KLU) 1010 0.134 0.0377 FDPF XB (NICSLU *) 1010 0.126 0.0267 FDPF BX (NICSLU *) 1020 0.134 0.0383 FDPF XB (CKTSO *) 1010 0.125 0.0268 FDPF BX (CKTSO *) 1000 0.136 0.0381 ==================== ====================== =================================== ============================ Differences: ============================ ============== ============== ================ case14_sandbox (1000 iter) Δ aor (amps) Δ gen_p (MW) Δ gen_q (MVAr) ============================ ============== ============== ================ PP (ref) 0 0 0 GS 0.000122 7.63e-06 7.63e-06 GS synch 0.000122 7.63e-06 7.63e-06 NR single (SLU) 0.000122 7.63e-06 7.63e-06 NR (SLU) 0.000122 7.63e-06 7.63e-06 NR single (KLU) 0.000122 7.63e-06 7.63e-06 NR (KLU) 0.000122 7.63e-06 7.63e-06 NR single (NICSLU *) 0.000122 7.63e-06 7.63e-06 NR (NICSLU *) 0.000122 7.63e-06 7.63e-06 NR single (CKTSO *) 0.000122 7.63e-06 7.63e-06 NR (CKTSO *) 0.000122 7.63e-06 7.63e-06 FDPF XB (SLU) 0.000122 7.63e-06 7.63e-06 FDPF BX (SLU) 0.000122 7.63e-06 7.63e-06 FDPF XB (KLU) 0.000122 7.63e-06 7.63e-06 FDPF BX (KLU) 0.000122 7.63e-06 7.63e-06 FDPF XB (NICSLU *) 0.000122 7.63e-06 7.63e-06 FDPF BX (NICSLU *) 0.000122 7.63e-06 7.63e-06 FDPF XB (CKTSO *) 0.000122 7.63e-06 7.63e-06 FDPF BX (CKTSO *) 0.000122 7.63e-06 7.63e-06 ============================ ============== ============== ================ l2rpn_neurips_2020_track2_small --------------------------------- Configuration: - date: 2024-03-25 17:59 CET - system: Linux 5.15.0-56-generic - OS: ubuntu 20.04 - processor: Intel(R) Core(TM) i7-6820HQ CPU @ 2.70GHz - python version: 3.10.13.final.0 (64 bit) - numpy version: 1.23.5 - pandas version: 2.2.1 - pandapower version: 2.13.1 - grid2op version: 1.10.1 - lightsim2grid version: 0.8.1 - lightsim2grid extra information: - klu_solver_available: True - nicslu_solver_available: True - cktso_solver_available: True - compiled_march_native: True - compiled_o3_optim: True ===================== ====================== =================================== ============================ neurips_2020_track2 grid2op speed (it/s) grid2op 'backend.runpf' time (ms) solver powerflow time (ms) ===================== ====================== =================================== ============================ PP 41.5 20.7 8.6 GS 3.74 266 266 GS synch 35.8 26.9 26.8 NR single (SLU) 536 0.897 0.767 NR (SLU) 505 0.959 0.818 NR single (KLU) 811 0.268 0.144 NR (KLU) 820 0.256 0.131 NR single (NICSLU *) 813 0.259 0.134 NR (NICSLU *) 827 0.243 0.118 NR single (CKTSO *) 814 0.257 0.131 NR (CKTSO *) 829 0.24 0.116 FDPF XB (SLU) 762 0.352 0.232 FDPF BX (SLU) 749 0.373 0.252 FDPF XB (KLU) 786 0.307 0.188 FDPF BX (KLU) 776 0.327 0.206 FDPF XB (NICSLU *) 786 0.308 0.188 FDPF BX (NICSLU *) 771 0.324 0.204 FDPF XB (CKTSO *) 784 0.309 0.19 FDPF BX (CKTSO *) 773 0.329 0.209 ===================== ====================== =================================== ============================ Differences: ================================= ============== ============== ================ neurips_2020_track2 (1000 iter) Δ aor (amps) Δ gen_p (MW) Δ gen_q (MVAr) ================================= ============== ============== ================ PP (ref) 0 0 0 GS 6.1e-05 3.81e-06 1.53e-05 GS synch 6.1e-05 3.81e-06 1.53e-05 NR single (SLU) 6.1e-05 0 9.54e-07 NR (SLU) 6.1e-05 0 9.54e-07 NR single (KLU) 6.1e-05 0 9.54e-07 NR (KLU) 6.1e-05 0 9.54e-07 NR single (NICSLU *) 6.1e-05 0 9.54e-07 NR (NICSLU *) 6.1e-05 0 9.54e-07 NR single (CKTSO *) 6.1e-05 0 9.54e-07 NR (CKTSO *) 6.1e-05 0 9.54e-07 FDPF XB (SLU) 6.1e-05 1.91e-06 1.53e-05 FDPF BX (SLU) 6.1e-05 1.91e-06 7.63e-06 FDPF XB (KLU) 6.1e-05 1.91e-06 1.53e-05 FDPF BX (KLU) 6.1e-05 1.91e-06 7.63e-06 FDPF XB (NICSLU *) 6.1e-05 1.91e-06 1.53e-05 FDPF BX (NICSLU *) 6.1e-05 1.91e-06 7.63e-06 FDPF XB (CKTSO *) 6.1e-05 1.91e-06 1.53e-05 FDPF BX (CKTSO *) 6.1e-05 1.91e-06 7.63e-06 ================================= ============== ============== ================