| name | pypsa |
| description | Progressive-disclosure workflow for PyPSA studies. Use whenever the user wants to load or build a PyPSA network, inspect components or time series, run power flow, solve operational OPF, or run capacity-expansion / investment optimization — even when they just say "optimize the dispatch", "size the storage", "run an expansion", or hand over a netCDF/CSV network like case39.nc. Exposes network inspection and feasibility before large optimization, and operational optimization before investment. Reach for this instead of answering PyPSA questions unaided. |
PyPSA workflow
Start by creating or loading a named network handle. Use network inspection before optimization, and use operational optimization before investment optimization.
Default tool ladder
load_network(file_path) or create_network(...) to create the active network handle.
get_network_info(network_name) and get_component_details(...) to understand topology, assets, and time series.
run_power_flow(network_name, linear=False) for feasibility checks.
optimize_network(network_name, ...) for dispatch or operational studies.
optimize_investment(network_name, ...) for expansion questions.
import_from_csv_folder(...) or export_to_csv_folder(...) once the network state is worth moving.
Working rules
- Do not jump straight into expansion optimization when a dispatch study can answer the question.
- Use AC or DC power flow to sanity-check a network before relying on optimization outputs.
- Treat PyPSA as a planning and scheduling engine, not the final authority on detailed reactive mitigation.
Escalation triggers
Quote the numbers that tripped each row (bus + v_mag_pu, element + loading, infeasibility cause) rather than saying "it failed".
| Observation | Escalate to |
|---|
Bus v_mag_pu < 0.95 or > 1.05 on an AC power flow | voltage-violation-mitigation |
Line or transformer loaded > 100% of s_nom | thermal-overload-mitigation |
run_contingency_analysis N-1 overload or post-outage islanding | contingency-mitigation |
optimize_network / optimize_investment infeasible, reserve-short, or heavily curtailed | operations-planning-mitigation |
run_power_flow fails to converge | convergence-failure-mitigation |
Local assets in this skill
case39.nc — a ready test network.
scripts/network_analysis.py — inspection.
scripts/optimization_analysis.py — OPF result review.
scripts/expansion_analysis.py — capacity-expansion studies.
scripts/contingency_analysis.py — local N-1 screening outside PowerMCP.
Deliver
- The network handle and study type.
- The main feasibility or cost result.
- Whether the next step is mitigation, AC validation, or a larger optimization.