README.md

pglib-opf-pyparser

Introduction

The script load_pglib_opf reads a power network instance from pglib-opf [1]. It takes as input a pglib_opf_*.m file and returns a pandas DataFrame for three tables:

• the bus data
• the generator and generator cost data
• the branch data

Moreover, using to_network you can create a networkx graph from the dataframes.

Check [2] for a description of the Data File Format.

Usage

Make sure to have pandas installed. To verify that all pglib-opf instances are loaded correctly, run the following command on the command line:

python3 load_pglib_opf.py

Todos

• Create networkx objects;
• Create pandapowerNet;
  • This one is pretty difficult, because pandapower uses different parameters than what Matpower provides. The best way to implement this is by looking at pandapower.converter.matpower.
• Create a parser class;

References

• [1] Power Grid Lib - Optimal Power Flow (pglib-opf) https://github.com/power-grid-lib/pglib-opf
• [2] MATPOWER manual: Appendix B Data File Format https://matpower.org/docs/MATPOWER-manual.pdf