PyPSA: Python for Power System Analysis

  • 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).

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Author:Thomas BrownORCiDGND, Jonas HörschORCiDGND, David Peter SchlachtbergerORCiDGND
URN:urn:nbn:de:hebis:30:3-543849
DOI:https://doi.org/10.5334/jors.188
ISSN:2049-9647
Parent Title (German):Journal of Open Research Software
Publisher:Ubiquity Press
Document Type:Article
Language:English
Date of Publication (online):2018/01/16
Date of first Publication:2018/01/16
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2020/04/20
Tag:Load flow calculations; Power system simulations; energy system simulations; optimal power flow; renewable energy; security-constrained optimal power flow; unit commitment;
Volume:6
Issue:Art. 4
Page Number:15
Note:
Copyright: © 2018 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
HeBIS-PPN:464887682
Institutes:Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0

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