pandapower

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Progressive-disclosure workflow for pandapower power-system studies. Use whenever the user wants to load, build, or inspect a pandapower network, run AC power flow, check bus voltages or line and transformer loading, or screen N-1 contingencies — even when they just say "run a load flow", "check this case", "is anything overloaded", or name a case file like case39.json. Exposes a clean base-case solve before advanced outage studies. Reach for this instead of answering pandapower grid questions unaided.

1installs

Sourcepower-agent/powerskills

Added on2026-06-21

NPX Install

npx skill4agent add power-agent/powerskills pandapower

SKILL.md Content

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pandapower workflow

Start with the network model and a clean base-case solve. Use contingency analysis only after the steady-state case is credible.

Default tool ladder

load_network(file_path)

or

create_empty_network()

```
get_network_info()
```
to inspect buses, lines, transformers, generators, loads, and switches.
```
run_power_flow(...)
```
to establish the base operating point.
```
run_contingency_analysis(...)
```
only after the base case solves and the monitoring limits are clear.

Working rules

Do not run contingencies before checking the base-case voltages and loading.
Use pandapower for AC feasibility and fast screening, then escalate only when the question requires more.

Escalation triggers

Map what the solve reports to the mitigation skill that handles it, and quote the numbers that tripped it (bus + vm_pu, element + loading %) rather than saying "violations exist".

Observation	Escalate to
`res_bus.vm_pu` < 0.95 or > 1.05	`voltage-violation-mitigation`
`res_line` / `res_trafo` `loading_percent` > 100	`thermal-overload-mitigation`
`run_contingency_analysis` flags any N-1 violation or islanding	`contingency-mitigation`
`run_power_flow` fails to converge	`convergence-failure-mitigation`
The study is DER (PV, storage) integration on a distribution network	`der-hosting-capacity-mitigation`

Local assets in this skill

```
case39.json
```
— a ready test network.
```
scripts/network_analysis.py
```
— structured base-case review.
```
scripts/contingency_analysis.py
```
— local N-1 screening.

Deliver

The network loaded and whether the base case converged.
The key voltage or loading findings.
Whether contingency or mitigation work is now justified.