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Pre-release

This release is a pre-release and may not be stable for production use.

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)

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 and write the solved case to file:

$ opf -c case14 --solvedcase=out.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:

pypower@googlegroups.com

Metadata

Release files for PYPOWER 3.2.0b1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for PYPOWER 3.2.0b1
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PYPOWER-3.2.0b1.tar.gz 153.9 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for PYPOWER 3.2.0b1
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PYPOWER-3.2.0b1-py2.7.egg Legacy Egg format - - Details
PYPOWER-3.2.0b1-py2.6.egg Legacy Egg format - - Details
PYPOWER-3.2.0b1-py2.5.egg Legacy Egg format - - Details

Total release size: 1.9 MB

Release files / PYPOWER-3.2.0b1.tar.gz

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