Lightsim2grid 0.8.1 and grid2op 1.10.1 (python 3.12) ==================================================== l2rpn_case14_sandbox --------------------- Configuration: - date: 2024-03-26 13:42 CET - system: Linux 5.4.0-153-generic - OS: ubuntu 20.04 - processor: Intel(R) Core(TM) i7-5960X CPU @ 3.00GHz - python version: 3.12.2.final.0 (64 bit) - numpy version: 1.26.4 - 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 31.3 28.9 16.8 GS 716 0.502 0.393 GS synch 696 0.522 0.41 NR single (SLU) 912 0.196 0.0829 NR (SLU) 911 0.197 0.084 NR single (KLU) 971 0.133 0.023 NR (KLU) 973 0.132 0.0213 NR single (NICSLU *) 955 0.136 0.023 NR (NICSLU *) 952 0.135 0.0213 NR single (CKTSO *) 970 0.132 0.0216 NR (CKTSO *) 975 0.13 0.0199 FDPF XB (SLU) 961 0.145 0.0355 FDPF BX (SLU) 949 0.158 0.0491 FDPF XB (KLU) 968 0.137 0.0285 FDPF BX (KLU) 957 0.15 0.0412 FDPF XB (NICSLU *) 963 0.139 0.0295 FDPF BX (NICSLU *) 943 0.154 0.0429 FDPF XB (CKTSO *) 971 0.138 0.0291 FDPF BX (CKTSO *) 956 0.151 0.0416 ==================== ====================== =================================== ============================ 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: 2024-03-26 13:51 CET - system: Linux 5.4.0-153-generic - OS: ubuntu 20.04 - processor: Intel(R) Core(TM) i7-5960X CPU @ 3.00GHz - python version: 3.12.2.final.0 (64 bit) - numpy version: 1.26.4 - 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 28.1 32.3 20.4 GS 4.05 245 245 GS synch 29.4 33 32.9 NR single (SLU) 519 0.9 0.754 NR (SLU) 518 0.917 0.771 NR single (KLU) 763 0.293 0.151 NR (KLU) 770 0.28 0.139 NR single (NICSLU *) 777 0.279 0.139 NR (NICSLU *) 774 0.27 0.127 NR single (CKTSO *) 792 0.27 0.13 NR (CKTSO *) 786 0.26 0.119 FDPF XB (SLU) 700 0.406 0.268 FDPF BX (SLU) 688 0.431 0.294 FDPF XB (KLU) 725 0.36 0.223 FDPF BX (KLU) 719 0.376 0.24 FDPF XB (NICSLU *) 730 0.351 0.215 FDPF BX (NICSLU *) 732 0.365 0.229 FDPF XB (CKTSO *) 748 0.343 0.209 FDPF BX (CKTSO *) 729 0.367 0.232 ===================== ====================== =================================== ============================ 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 ================================= ============== ============== ================