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Open database analysis of scaling and spatio-temporal properties of power grid frequencies

Rydin Gorjão, Leonardo; Jumar, Richard ORCID iD icon; Maass, Heiko ORCID iD icon; Hagenmeyer, Veit; Yalcin, G. Cigdem; Kruse, Johannes; Timme, Marc; Beck, Christian; Witthaut, Dirk; Schäfer, Benjamin ORCID iD icon


The electrical energy system has attracted much attention from an increasingly diverse research community. Many theoretical predictions have been made, from scaling laws of fluctuations to propagation velocities of disturbances. However, to validate any theory, empirical data from large-scale power systems are necessary but are rarely shared openly. Here, we analyse an open database of measurements of electric power grid frequencies across 17 locations in 12 synchronous areas on three continents. The power grid frequency is of particular interest, as it indicates the balance of supply and demand and carries information on deterministic, stochastic, and control influences. We perform a broad analysis of the recorded data, compare different synchronous areas and validate a previously conjectured scaling law. Furthermore, we show how fluctuations change from local independent oscillations to a homogeneous bulk behaviour. Overall, the presented open database and analyses constitute a step towards more shared, collaborative energy research.

Verlagsausgabe §
DOI: 10.5445/IR/1000127402
Veröffentlicht am 03.03.2021
DOI: 10.1038/s41467-020-19732-7
Zitationen: 21
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 11.12.2020
Sprache Englisch
Identifikator ISSN: 2041-1723
KITopen-ID: 1000127402
HGF-Programm 37.98.11 (POF III, LK 01) ES 2050
Erschienen in Nature Communications
Verlag Nature Research
Band 11
Heft 1
Seiten Art.-Nr. 6362
Nachgewiesen in Dimensions
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