Metadata-Version: 1.0
Name: PYPOWER
Version: 4.0.1
Summary: Solves power flow and optimal power flow problems
Home-page: http://www.pypower.org/
Author: Richard Lincoln
Author-email: r.w.lincoln@gmail.com
License: GPLv3
Description: ============
        Introduction
        ============
        
        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:
        
        * Python_ 2.5 or later and
        * SciPy_ 0.7 or later.
        
        It can be installed using setuptools_::
        
          $ easy_install PYPOWER
        
        Alternatively, `download <http://pypi.python.org/pypi/PYPOWER#downloads>`_ 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://www.pypower.org/ and the
        `API documentation`_.
        
        Support
        -------
        
        Questions and comments regarding PYPOWER should be directed to the `mailing
        list <http://groups.google.com/group/pypower>`_:
        
            pypower@googlegroups.com
        
        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.
        
        Links
        -----
        
        * MATPOWER_ from PSERC (Cornell)
        * MatDyn_ by Stijn Cole
        * PSAT_ by Federico Milano
        * OpenDSS_ from EPRI
        * GridLAB-D_ from PNNL
        * PyCIM_
        
        .. _Python: http://www.python.org
        .. _setuptools: http://peak.telecommunity.com/DevCenter/setuptools
        .. _SciPy: http://www.scipy.org
        .. _MATPOWER: http://www.pserc.cornell.edu/matpower/
        .. _Git: http://git-scm.com/
        .. _GitHub: http://github.com/rwl/PYPOWER
        .. _`GNU General Public License`: http://www.gnu.org/licenses/
        .. _`API documentation`: http://www.pypower.org/api
        .. _PyCIM: http://www.pycim.org
        .. _MatDyn: http://www.esat.kuleuven.be/electa/teaching/matdyn/
        .. _PSAT: http://www.uclm.es/area/gsee/web/Federico/psat.htm
        .. _OpenDSS: http://sourceforge.net/projects/electricdss/
        .. _GridLAB-D: http://sourceforge.net/projects/gridlab-d/
        
Platform: UNKNOWN
