https://github.com/PyPSA/PyPSA
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Tip revision: 62178211ffe8a988e04bf761f2ec08d2da4e35be authored by Fabian Neumann on 27 July 2023, 07:50:58 UTC
Merge pull request #703 from PyPSA/prep-v0.25.1
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comparable_software.rst
#######################
Comparable Software
#######################

The `PyPSA paper <https://arxiv.org/abs/1707.09913>`_
contains a discussion of PyPSA's features compared to other software
tools and a functionality comparison in Table III.

Free software
=============


- `PYPOWER <https://github.com/rwl/PYPOWER>`_ - a Python, numpy, scipy port of `MATPOWER <http://www.pserc.cornell.edu/matpower/>`_, compared to PyPSA below
- `pandapower <https://www.pandapower.org>`_ - a Python based extension of PYPOWER that uses pandas "to create an easy to use network calculation program aimed at automation of power system analysis and optimization in distribution and sub-transmission networks"
- `GridCal <https://github.com/SanPen/GridCal>`_ - a Python-based extension of PYPOWER that includes time series and load flow methods using analytic continuation
- `MATPOWER <http://www.pserc.cornell.edu/matpower/>`_ - a Matlab-based tool for static power system computations
- `PSAT <http://faraday1.ucd.ie/psat.html>`_ - a general Matlab-based tool for (most) power system calculations
- `Open Energy Modelling Framework <https://github.com/oemof/oemof>`_ - Python and Pyomo based framework for optimisation which includes all energy sectors in a general framework
- `Calliope <https://calliope.readthedocs.io/>`_ - Python and Pyomo based framework for energy system optimisation
- `OSeMOSYS <http://www.osemosys.org/>`_ -  systems optimization model for long-run energy planning
- `urbs <https://github.com/tum-ens/urbs>`_
- `minpower <http://adamgreenhall.github.io/minpower/>`_
- `DiSC <http://kom.aau.dk/project/SmartGridControl/DiSC/documentation.html>`_
- `IEEE OSS list <http://ewh.ieee.org/cmte/psace/CAMS_taskforce/links.htm>`_
- `SWITCH <http://rael.berkeley.edu/old_drupal/switch>`_
- `PowerGAMA <https://bitbucket.org/harald_g_svendsen/powergama/wiki/Home>`_
- `NEMO <https://nemo.ozlabs.org/>`_
- `Mosaik-PYPOWER <https://mosaik.offis.de/>`_
- `OpenDSS <http://sourceforge.net/projects/electricdss/>`_
- `MatDyn <http://www.esat.kuleuven.be/electa/teaching/matdyn/>`_
- `GridLAB-D <http://sourceforge.net/projects/gridlab-d/>`_
- `CIMpy    <http://sogno.energy/cimpy/>`_
- `vSPD <https://github.com/ElectricityAuthority/vSPD>`_ - Vectorised Scheduling, Pricing and Dispatch (vSPD) - an audited, mathematical replica of SPD, the pricing and dispatch engine used in the New Zealand electricity market.


Non-free software
=================

- `DIgSILENT PowerFactory <http://www.digsilent.de/index.php/products-powerfactory.html>`_
- PSS/E
- Neplan
- PowerWorld
- INTEGRAL
- `PLEXOS <http://energyexemplar.com/software/plexos-desktop-edition/>`_


Comparison with selected packages
===================================

PyPSA is compared to `PYPOWER <https://github.com/rwl/PYPOWER>`_ in the following table:


.. csv-table::
   :header-rows: 1
   :file: pypower.csv
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