/
comparable_software.rst
55 lines (43 loc) · 2.83 KB
/
comparable_software.rst
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
#######################
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 <http://docs.callio.pe/en/stable/index.html>`_ - 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://bitbucket.org/mosaik/mosaik-pypower>`_
- `OpenDSS <http://sourceforge.net/projects/electricdss/>`_
- `MatDyn <http://www.esat.kuleuven.be/electa/teaching/matdyn/>`_
- `GridLAB-D <http://sourceforge.net/projects/gridlab-d/>`_
- `PyCIM <http://www.pycim.org>`_
- `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