####################### Comparable Software ####################### The `PyPSA paper `_ contains a discussion of PyPSA's features compared to other software tools and a functionality comparison in Table III. Free software ============= - `PYPOWER `_ - a Python, numpy, scipy port of `MATPOWER `_, compared to PyPSA below - `pandapower `_ - 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 `_ - a Python-based extension of PYPOWER that includes time series and load flow methods using analytic continuation - `MATPOWER `_ - a Matlab-based tool for static power system computations - `PSAT `_ - a general Matlab-based tool for (most) power system calculations - `Open Energy Modelling Framework `_ - Python and Pyomo based framework for optimisation which includes all energy sectors in a general framework - `Calliope `_ - Python and Pyomo based framework for energy system optimisation - `OSeMOSYS `_ - systems optimization model for long-run energy planning - `urbs `_ - `minpower `_ - `DiSC `_ - `IEEE OSS list `_ - `SWITCH `_ - `PowerGAMA `_ - `NEMO `_ - `Mosaik-PYPOWER `_ - `OpenDSS `_ - `MatDyn `_ - `GridLAB-D `_ - `PyCIM `_ - `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 `_ - PSS/E - Neplan - PowerWorld - INTEGRAL - `PLEXOS `_ Comparison with selected packages =================================== PyPSA is compared to `PYPOWER `_ in the following table: .. csv-table:: :header-rows: 1 :file: pypower.csv