Solves power flow and optimal power flow problems
Project description
PYPOWER is a power flow and Optimal Power Flow (OPF) solver. Current features include:
DC and AC (Newton’s method & Fast Decoupled) power flow and
DC and AC optimal power flow (OPF)
PYPOWER is a port of MATPOWER to the Python programming language.
Installation
PYPOWER depends upon:
It can be installed using setuptools:
$ easy_install PYPOWER
Alternatively, download and unpack the tarball and install:
$ tar zxf PYPOWER-4.0.X.tar.gz $ python setup.py install
Using PYPOWER
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://rwl.github.io/PYPOWER/ and the API documentation.
Support
Questions and comments regarding PYPOWER should be directed to the mailing list:
License & Copyright
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.
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