1 **PYPOWER** is a power flow and Optimal Power Flow (OPF) solver. It is a port of
2 MATPOWER_ to the Python_ programming language. Current
5 * DC and AC (Newton's method & Fast Decoupled) power flow and
6 * DC and AC optimal power flow (OPF)
11 .. |nbsp| unicode:: 0xa0
14 |libraries|_ |nbsp| |pyversions|_ |nbsp| |license|_ |nbsp| |downloads|_ |nbsp| |travis|_ |nbsp| |pypi_version|_
16 .. |libraries| image:: https://img.shields.io/librariesio/release/pypi/PYPOWER
17 .. _libraries: https://libraries.io/pypi/PYPOWER
19 .. |pyversions| image:: https://img.shields.io/pypi/pyversions/PYPOWER
20 .. _pyversions: https://img.shields.io/librariesio/release/pypi/PYPOWER
22 .. |license| image:: https://img.shields.io/pypi/l/PYPOWER
23 .. _license: https://github.com/rwl/PYPOWER/blob/master/LICENSE
25 .. |downloads| image:: https://img.shields.io/pypi/dm/PYPOWER.svg
26 .. _downloads: https://pypistats.org/packages/pypower
28 .. |travis| image:: https://img.shields.io/travis/rwl/pypower/master?label=Travis%20CI
29 .. _travis: https://travis-ci.org/rwl/PYPOWER
31 .. |pypi_version| image:: https://badge.fury.io/py/PYPOWER.svg
32 .. _pypi_version: https://badge.fury.io/py/PYPOWER
34 PYPOWER is no longer actively maintained. However, should improvements
35 to PYPOWER be required then the `original author <https://github.com/rwl>`_
36 may be available on contract. Please do not hesitate to get in
37 `contact <mailto:r.w.lincoln@gmail.com>`_ directly.
42 PYPOWER depends upon these prerequisites on the level of the operating system:
49 PYPOWER is recommended to be installed into a virtual environment::
51 $ python3.8 -m venv venv # Or any supported Python version
56 PYPOWER depends upon NumPy, SciPy and PyRLU which can be installed as follows::
58 $ venv/bin/python -m pip install -r requirements.txt
63 The recommended way of installing PYPOWER is using pip_::
65 $ venv/bin/python -m pip install PYPOWER
67 Alternatively, `download <http://pypi.python.org/pypi/PYPOWER#downloads>`_ and
68 unpack the tarball and install::
70 $ tar zxf PYPOWER-5.x.y.tar.gz
71 $ venv/bin/python setup.py install
76 PYPOWER can be tested locally using the same tooling as on Travis CI::
78 $ venv/bin/python -m tox -e py27,py38 # Or any supported Python version
83 Installing PYPOWER creates ``pf`` and ``opf`` commands. To list the command
92 PYPOWER includes a selection of test cases. For example, to run a power flow
93 on the IEEE 14 bus test case::
95 $ venv/bin/pf -c case14
97 Alternatively, the path to a PYPOWER case data file can be specified::
99 $ venv/bin/pf /path/to/case14.py
101 The ``opf`` command has the same calling syntax. For example, to solve an OPF
102 for the IEEE Reliability Test System and write the solved case to file::
104 $ venv/bin/opf -c case24_ieee_rts --solvedcase=rtsout.py
106 For further information please refer to https://rwl.github.io/PYPOWER/ and the
107 `API documentation`_.
112 Questions and comments regarding PYPOWER should be directed to the `mailing
113 list <http://groups.google.com/group/pypower>`_:
115 pypower@googlegroups.com
120 Copyright (c) 1996-2015, Power System Engineering Research Center (PSERC)
121 Copyright (c) 2010-2021 Richard Lincoln
123 The code in PYPOWER is distributed under the 3-clause BSD license
124 below. The PYPOWER case files distributed with PYPOWER are not covered
125 by the BSD license. In most cases, the data has either been included
126 with permission or has been converted from data available from a
129 While not required by the terms of the license, we do request that
130 publications derived from the use of MATPOWER explicitly acknowledge
133 R. D. Zimmerman, C. E. Murillo-Sanchez, and R. J. Thomas, "MATPOWER:
134 Steady-State Operations, Planning and Analysis Tools for Power Systems
135 Research and Education," Power Systems, IEEE Transactions on, vol. 26,
136 no. 1, pp. 12–19, Feb. 2011.
141 * MATPOWER_ from PSERC (Cornell)
142 * matpower.app_ MATPOWER web application based on GNU Octave in WebAssembly
143 * Oct2PYPOWER_ Python bridge to MATPOWER using Oct2Py
144 * pandapower_ from Fraunhofer IWES and University of Kassel
146 * MatDyn_ by Stijn Cole
147 * PSAT_ by Federico Milano
149 * GridLAB-D_ from PNNL
152 .. _Python: http://www.python.org
153 .. _pip: https://pip.pypa.io
154 .. _SciPy: http://www.scipy.org
155 .. _MATPOWER: http://www.pserc.cornell.edu/matpower/
156 .. _Git: http://git-scm.com/
157 .. _GitHub: http://github.com/rwl/PYPOWER
158 .. _`API documentation`: https://rwl.github.io/PYPOWER/api
159 .. _PyCIM: http://www.pycim.org
160 .. _MatDyn: http://www.esat.kuleuven.be/electa/teaching/matdyn/
161 .. _PSAT: http://www.uclm.es/area/gsee/web/Federico/psat.htm
162 .. _OpenDSS: http://sourceforge.net/projects/electricdss/
163 .. _GridLAB-D: http://sourceforge.net/projects/gridlab-d/
164 .. _pandapower: http://www.uni-kassel.de/go/pandapower
165 .. _TESP: https://tesp.readthedocs.io
166 .. _Oct2PYPOWER: https://github.com/rwl/oct2pypower
167 .. _matpower.app: https://matpower.app