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https://github.com/rwl/PYPOWER

Port of MATPOWER to Python
https://github.com/rwl/PYPOWER

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Port of MATPOWER to Python

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README 

        
**PYPOWER** is a power flow and Optimal Power Flow (OPF) solver. It is a port of

MATPOWER_ to the Python_ programming language. Current

features include:



* DC and AC (Newton's method & Fast Decoupled) power flow and

* DC and AC optimal power flow (OPF)



Status

======



.. |nbsp| unicode:: 0xa0

   :trim:



|libraries|_ |nbsp| |pyversions|_ |nbsp| |license|_ |nbsp| |downloads|_ |nbsp| |travis|_ |nbsp| |pypi_version|_



.. |libraries| image:: https://img.shields.io/librariesio/release/pypi/PYPOWER

.. _libraries: https://libraries.io/pypi/PYPOWER



.. |pyversions| image:: https://img.shields.io/pypi/pyversions/PYPOWER

.. _pyversions: https://img.shields.io/librariesio/release/pypi/PYPOWER



.. |license| image:: https://img.shields.io/pypi/l/PYPOWER

.. _license: https://github.com/rwl/PYPOWER/blob/master/LICENSE



.. |downloads| image:: https://img.shields.io/pypi/dm/PYPOWER.svg

.. _downloads: https://pypistats.org/packages/pypower



.. |travis| image:: https://img.shields.io/travis/rwl/pypower/master?label=Travis%20CI

.. _travis: https://travis-ci.org/rwl/PYPOWER



.. |pypi_version| image:: https://badge.fury.io/py/PYPOWER.svg

.. _pypi_version: https://badge.fury.io/py/PYPOWER



PYPOWER is no longer actively maintained. However, should improvements

to PYPOWER be required then the `original author `_

may be available on contract. Please do not hesitate to get in

`contact `_ directly.



Prerequisites

=============



PYPOWER depends upon these prerequisites on the level of the operating system:



* Python_ 2.7 - 3.9



Virtual Environment

===================



PYPOWER is recommended to be installed into a virtual environment::



  $ python3.8 -m venv venv  # Or any supported Python version



Dependencies

============



PYPOWER depends upon NumPy, SciPy and PyRLU which can be installed as follows::



  $ venv/bin/python -m pip install -r requirements.txt



Installation

============



The recommended way of installing PYPOWER is using pip_::



  $ venv/bin/python -m pip install PYPOWER



Alternatively, `download `_ and

unpack the tarball and install::



  $ tar zxf PYPOWER-5.x.y.tar.gz

  $ venv/bin/python setup.py install



Testing

=======



PYPOWER can be tested locally using the same tooling as on Travis CI::



  $ venv/bin/python -m tox -e py27,py38  # Or any supported Python version



Using PYPOWER

=============



Installing PYPOWER creates ``pf`` and ``opf`` commands. To list the command

options::



  $ venv/bin/pf -h



or::



  $ venv/bin/opf -h



PYPOWER includes a selection of test cases. For example, to run a power flow

on the IEEE 14 bus test case::



  $ venv/bin/pf -c case14



Alternatively, the path to a PYPOWER case data file can be specified::



  $ venv/bin/pf /path/to/case14.py



The ``opf`` command has the same calling syntax. For example, to solve an OPF

for the IEEE Reliability Test System and write the solved case to file::



  $ venv/bin/opf -c case24_ieee_rts --solvedcase=rtsout.py



For further information please refer to https://rwl.github.io/PYPOWER/ and the

`API documentation`_.



Support

=======



Questions and comments regarding PYPOWER should be directed to the `mailing

list `_:



    [email protected]



License & Copyright

===================



Copyright (c) 1996-2015, Power System Engineering Research Center (PSERC)  

Copyright (c) 2010-2021 Richard Lincoln  



The code in PYPOWER is distributed under the 3-clause BSD license

below. The PYPOWER case files distributed with PYPOWER are not covered

by the BSD license. In most cases, the data has either been included

with permission or has been converted from data available from a

public source.



While not required by the terms of the license, we do request that

publications derived from the use of MATPOWER explicitly acknowledge

that fact by citing:



    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.



Links

=====



* MATPOWER_ from PSERC (Cornell)

* matpower.app_ MATPOWER web application based on GNU Octave in WebAssembly

* Oct2PYPOWER_ Python bridge to MATPOWER using Oct2Py

* pandapower_ from Fraunhofer IWES and University of Kassel

* TESP_ from PNNL

* MatDyn_ by Stijn Cole

* PSAT_ by Federico Milano

* OpenDSS_ from EPRI

* GridLAB-D_ from PNNL

* PyCIM_



.. _Python: http://www.python.org

.. _pip: https://pip.pypa.io

.. _SciPy: http://www.scipy.org

.. _MATPOWER: http://www.pserc.cornell.edu/matpower/

.. _Git: http://git-scm.com/

.. _GitHub: http://github.com/rwl/PYPOWER

.. _`API documentation`: https://rwl.github.io/PYPOWER/api

.. _PyCIM: http://www.pycim.org

.. _MatDyn: http://www.esat.kuleuven.be/electa/teaching/matdyn/

.. _PSAT: http://www.uclm.es/area/gsee/web/Federico/psat.htm

.. _OpenDSS: http://sourceforge.net/projects/electricdss/

.. _GridLAB-D: http://sourceforge.net/projects/gridlab-d/

.. _pandapower: http://www.uni-kassel.de/go/pandapower

.. _TESP: https://tesp.readthedocs.io

.. _Oct2PYPOWER: https://github.com/rwl/oct2pypower

.. _matpower.app: https://matpower.app