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)
PYPOWER depends upon:
It can be installed using pip:
$ pip install PYPOWER
Alternatively, download and unpack the tarball and install:
$ tar zxf PYPOWER-4.x.y.tar.gz $ python setup.py install
Installing PYPOWER creates pf and opf commands. To list the command
options:
$ pf -h
PYPOWER includes a selection of test cases. For example, to run a power flow on the IEEE 14 bus test case:
$ pf -c case14
Alternatively, the path to a PYPOWER case data file can be specified:
$ 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:
$ opf -c case24_ieee_rts --solvedcase=rtsout.py
For further information please refer to http://www.pypower.org/ and the API documentation.
Questions and comments regarding PYPOWER should be directed to the mailing list:
[email protected]
Copyright (C) 1996-2011 Power System Engineering Research Center
Copyright (C) 2010-2011 Richard Lincoln
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.