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Open database analysis of scaling and spatio-temporal properties of power grid frequencies.
Rydin Gorjão, Leonardo; Jumar, Richard; Maass, Heiko; Hagenmeyer, Veit; Yalcin, G Cigdem; Kruse, Johannes; Timme, Marc; Beck, Christian; Witthaut, Dirk; Schäfer, Benjamin.
Afiliação
  • Rydin Gorjão L; Forschungszentrum Jülich, Institute for Energy and Climate Research-Systems Analysis and Technology Evaluation (IEK-STE), Jülich, Germany.
  • Jumar R; Institute for Theoretical Physics, University of Cologne, Köln, Germany.
  • Maass H; Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen, Germany.
  • Hagenmeyer V; Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen, Germany.
  • Yalcin GC; Karlsruhe Institute of Technology, Institute for Automation and Applied Informatics, Eggenstein-Leopoldshafen, Germany.
  • Kruse J; Department of Physics, Istanbul University, 34134, Vezneciler, Istanbul, Turkey.
  • Timme M; Forschungszentrum Jülich, Institute for Energy and Climate Research-Systems Analysis and Technology Evaluation (IEK-STE), Jülich, Germany.
  • Beck C; Institute for Theoretical Physics, University of Cologne, Köln, Germany.
  • Witthaut D; Network Dynamics, Center for Advancing Electronics Dresden (cfaed) and Institute for Theoretical Physics, Technical University of Dresden, Dresden, Germany.
  • Schäfer B; School of Mathematical Sciences, Queen Mary University of London, London, UK.
Nat Commun ; 11(1): 6362, 2020 Dec 11.
Article em En | MEDLINE | ID: mdl-33311505
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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article