PyPSA: Python for Power System Analysis

By Tom Brown, Jonas Horsch, David P. Schlachtberger. 2017

711 citations recorded by the source corpus.

Python for Power System Analysis (PyPSA) is a free software toolbox for simulating and optimising modern electrical power systems over multiple periods. PyPSA includes models for conventional generators with unit commitment, variable renewable generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks. It is designed to be easily extensible and to scale well with large networks and long time series. In this paper the basic functionality of PyPSA is described, including the formulation of the full power flow equations and the multi-period optimisation of operation and investment with linear power flow equations. PyPSA is positioned in the existing free software landscape as a bridge between traditional power flow analysis tools for steady-state analysis and full multi-period energy system models. The functionality is demonstrated on two open datasets of the transmission system in Germany (based on SciGRID) and Europe (based on GridKit).

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/83b794406cba2a2f032ca34762e329e4f03aebdb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Tom Brown
2. David P. Schlachtberger
3. Jonas Horsch
4. Mark Z. Jacobson
5. Fabian Hofmann

In Electrical and Electronic Engineering

1. Tom Brown
2. Christian Breyer
3. David P. Schlachtberger
4. Marta Victoria
5. Henrik Lund
6. D. Bogdanov
7. S. Schramm
8. Martin Greiner

Citations in the corpus

• Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints (2018, methodology): “The model is implemented in the free software energy system framework PyPSA [16].”
• On the History and Future of 100% Renewable Energy Systems Research (2022, methodology): “The modeling framework Python for Power SystemAnalysis (PyPSA) [130], together with the instances for the European power system (PyPSA-Eur) [117], [131] and sector-coupled system”
• PyPSA-Eur: An open optimisation model of the European transmission system (2018, methodology): “idings, but excluding free space). 3.4. Model validation: Linear optimal power ow As a validation of the model at large, it is formulated within the Python for Power System Analysis (PyPSA) framework [17,18] and the linear optimal power ow of the European peak-load hour is considered to check the fe”