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GridOverture Docs

Open orchestration layer for power system modeling

7 Solver Backends

ANDES, Veragrid, PyPSA, pandapower, and DC variants. One API, any solver.

Cross-Solver Comparison

Compare power flow results across solvers side by side with detailed metrics.

Cascade Simulator

Simulate cascading failures calibrated against PowerGraph (ETH Zurich, NeurIPS 2024).

8 Test Networks

IEEE 14/24/39/57/118/300-bus, UK 29-bus, and WECC 240-bus built in.

OPF Support

Optimal power flow via PyPSA LOPF and pandapower AC OPF.

ML Dataset Generation

Generate graph-structured datasets for GNN training from realistic simulations.

Load. Solve. Compare.

import gridoverture as go

net = go.load("ieee39")
result = go.run_load_flow(net, solver="veragrid")
comparison = go.compare(net, solvers=["andes", "veragrid", "pypsa"])