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Understanding Braess’ Paradox in power grids

Schäfer, Benjamin ORCID iD icon 1; Pesch, Thiemo; Manik, Debsankha; Gollenstede, Julian; Lin, Guosong; Beck, Hans-Peter; Witthaut, Dirk; Timme, Marc
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

The ongoing energy transition requires power grid extensions to connect renewable generators to consumers and to transfer power among distant areas. The process of grid extension requires a large investment of resources and is supposed to make grid operation more robust. Yet, counter-intuitively, increasing the capacity of existing lines or adding new lines may also reduce the overall system performance and even promote blackouts due to Braess’ paradox. Braess’ paradox was theoretically modeled but not yet proven in realistically scaled power grids. Here, we present an experimental setup demonstrating Braess’ paradox in an AC power grid and show how it constrains ongoing large-scale grid extension projects. We present a topological theory that reveals the key mechanism and predicts Braessian grid extensions from the network structure. These results offer a theoretical method to understand and practical guidelines in support of preventing unsuitable infrastructures and the systemic planning of grid extensions.


Verlagsausgabe §
DOI: 10.5445/IR/1000151478
Veröffentlicht am 24.10.2022
Originalveröffentlichung
DOI: 10.1038/s41467-022-32917-6
Scopus
Zitationen: 11
Web of Science
Zitationen: 7
Dimensions
Zitationen: 13
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2041-1723
KITopen-ID: 1000151478
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Erschienen in Nature Communications
Verlag Nature Research
Band 13
Heft 1
Seiten Art.-Nr.: 5396
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 14.09.2022
Schlagwörter Complex networks, Computational science, Energy grids and networks, Nonlinear phenomena
Nachgewiesen in Web of Science
Scopus
Dimensions
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