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pwrs

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⚠️ This project is still under heavy development, the functionality is not yet guaranteed to be stable or fully available.

Pwrs is a Python package for power system simulation. Currently, we have:

Online documentation of development branch is available at Github Pages.

This project is NOT affiliated with or endorsed by the MATPOWER, PowerModels.jl or power grid lib authors.

Quick Start

You can install pwrs by pip:

pip install pwrs
# or install the development version by
pip install git+https://github.com/determ1ne/pwrs@dev
# install all optional dependencies by
pip install pwrs[all]
# or install the package for development by uv:
# uv sync --dev
# or by pip:
# pip install -e .

Run an OPF by:

import pwrs as mp

mpc = mp.case9241pegase()
opt = mp.mpoption()
# opt.mips.linsolver = 'LU'
result = mp.runopf(mpc, opt)

License and Terms of Use

Pwrs is distributed under the 3-Clause BSD License.

This software is derived from:

  • MATPOWER, licensed under the 3-Clause BSD License.
  • PowerModels.jl, licensed under the BSD license.

The case files distributed with pwrs are NOT covered by the BSD License. In most cases, these data files have either been included with permission or converted from data available from public sources.

Copyright 2026, Liangyu Zhang.

See the LICENSE file distributed with this software for details.

Citation Guidelines

Users of this project are encouraged to cite the software:

Liangyu Zhang (<YEAR>). pwrs [Software]. Available: https://github.com/determ1ne/pwrs doi: [10.5281/zenodo.19145297]

Publications derived from the use of functions originated from the MATPOWER software should cite the 2011 MATPOWER paper:

R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, "MATPOWER: Steady-State Operations, Planning and Analysis Tools for Power Systems Research and Education," Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 12-19, Feb. 2011.
doi: [10.1109/TPWRS.2010.2051168][13]

Work making specific reference to the Pwrs Interior Point Solver (PIPS) should also cite:

H. Wang, C. E. Murillo-Sánchez, R. D. Zimmerman, R. J. Thomas, "On Computational Issues of Market-Based Optimal Power Flow," Power Systems, IEEE Transactions on, vol. 22, no. 3, pp. 1185-1193, Aug. 2007.
doi: [10.1109/TPWRS.2007.901301][17]

Publications derived from the use of functions originated from the PowerModels.jl software should cite with:

@inproceedings{8442948,
  author = {Carleton Coffrin and Russell Bent and Kaarthik Sundar and Yeesian Ng and Miles Lubin},
  title = {PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations},
  booktitle = {2018 Power Systems Computation Conference (PSCC)},
  year = {2018},
  month = {June},
  pages = {1-8},
  doi = {10.23919/PSCC.2018.8442948}
}

NOTE: Some of the case files included request the citation of additional publications. This includes the ACTIVSg, PEGASE, and RTE cases. Details are available in the help text at the top of the corresponding case files.

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Yet another Python power system simulation library. MATPOWER-like API, PowerModels.jl algorithms, Cases bundled

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