Contingency Analysis

The Contingency Analysis package provides the implementation to the Load-flow-Service interface. This enables a backend independent Contingency definition. Additional it offers either Polars or Pandas DataFrames as a return value.

Usage:

• Run the N-1 analysis with the function get_ac_loadflow_results; depending on the network you provide, it will execute the contingency definition in either pandapower or pypowsybl.
• Compute metrics (polars only) for the results using compute_metrics
• Direct entrypoint for PyPowSyBl: run_contingency_analysis_powsybl
• Direct entrypoint for Pandapower: run_contingency_analysis_pandapower
• The contingency definition used downstream is first created during convert_file and then refreshed during load_grid after preprocessing filters have been applied.
• Manually: Create a converter from you Contingency list to the Nminus1Definition