PFPy - PowerFactory with Python

PFPy provides a wrapper around PowerFactory's Python API with additional features in pfpy.pf. Furthermore, pfpy.models provides a high-level access to PowerFactory models, e.g. via:

• model.simulate()
• model.linearize()
• model.set_params()

It has been developed at the Division of Electric Power and Energy Systems, KTH Royal Institute of Technology.

The code has been tested with PowerFactory 2019 and PowerFactory 2020. Note that $PYTHONPATH needs to point to the PowerFactory Python API.

Examples

The PowerFactory model used in all of the examples is located in ./examples/data/models/PFPY_DEMO.pfd

Simulation Example

The simulation of the aforementioned model is demonstrated in the simulation example. The model contains a controllable voltage source at the PCC. CSV files are generated that are replayed at the PCC, simulation is executed and the results are plotted.

Linearization Examples

The same model is linearized as seen from the PCC in the following Jupyter notebook. When compared to the linearization in PowerFacory, this code, in addition to the A matrix, provides also B,C, and D matrices.

Documentation

Automatically generated documentation from docstrings can be found here.

Acknowledgments

Parts of this code were inspired by the following book: Francisco Gonzalez-Longatt, José Luis Rueda Torres, Advanced Smart Grid Functionalities Based on PowerFactory, Springer, 2017