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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Leonardo Rydin Gorjão - , Forschungszentrum Jülich, Universität zu Köln (Autor:in)
  • Richard Jumar - , Karlsruher Institut für Technologie (Autor:in)
  • Heiko Maass - , Karlsruher Institut für Technologie (Autor:in)
  • Veit Hagenmeyer - , Karlsruher Institut für Technologie (Autor:in)
  • G. Cigdem Yalcin - , Istanbul University (Autor:in)
  • Johannes Kruse - , Forschungszentrum Jülich, Universität zu Köln (Autor:in)
  • Marc Timme - , Professur für Netzwerk-Dynamik (cfaed) (Autor:in)
  • Christian Beck - , Queen Mary University of London (Autor:in)
  • Dirk Witthaut - , Forschungszentrum Jülich, Universität zu Köln (Autor:in)
  • Benjamin Schäfer - , Queen Mary University of London (Autor:in)

Abstract

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.

Details

OriginalspracheEnglisch
Aufsatznummer6362
FachzeitschriftNature communications
Jahrgang11
Ausgabenummer1
PublikationsstatusVeröffentlicht - Dez. 2020
Peer-Review-StatusJa

Externe IDs

PubMed 33311505
ORCID /0000-0002-5956-3137/work/142242407