Solves power flow and optimal power flow problems
- DC and AC (Newton’s method & Fast Decoupled) power flow and
- DC and AC optimal power flow (OPF)
PYPOWER depends upon these prerequisites on the level of the operating system:
- Python 2.7 - 3.9
PYPOWER is recommended to be installed into a virtual environment:
$ python3.8 -m venv venv # Or any supported Python version
PYPOWER depends upon SciPy, which can be installed as follows:
$ venv/bin/python -m pip install -r requirements.txt
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
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
Installing PYPOWER creates pf and opf commands. To list the command options:
$ venv/bin/pf -h
$ 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
Questions and comments regarding PYPOWER should be directed to the mailing list:
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.
Version 5.1.5 (2020-10-21)
- [NEW] Added new function: AC continuation power flow
Version 5.1.2 (2017-06-09)
- [NEW] Configured continuous integration using Travis.
Version 5.1.0 (2017-06-09)
- [NEW] Added Python 3 support.
Version 5.0.1 (2016-07-04)
Version 5.0.0 (2015-05-29)
- [CHANGE] 3-clause BSD License
Version 4.1.2 (2014-10-27)
Version 4.1.1 (2014-09-17)
- [FIX] loadcase.py: Fixed NumPy 1.9 warning about “== None” comparisions.
Version 4.1.0 (2014-05-29)
- [NEW] Support for Python 3 (3.3 and above).
- [CHANGE] Updated to MATPOWER 4.1.
- [REMOVED] Support for Python 2.5 and below.
Version 4.0.1 (2011-07-14)
- [CHANGE] printpf.py: changed boolean operators from bitwise to logical to fix the output options
- [FIX] savecase.py: adding indentation to produce valid Python modules
Version 4.0.0 (2011-07-07)
Initial release, port of MATPOWER version 4.0
Release history Release notifications | RSS feed
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