Data-Driven Model of the Power-Grid Frequency Dynamics

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Leonardo Rydin Gorjao - , Forschungszentrum Jülich, Universität zu Köln (Autor:in)
  • Mehrnaz Anvari - , Max-Planck-Institut für Physik komplexer Systeme (Autor:in)
  • Holger Kantz - , Max-Planck-Institut für Physik komplexer Systeme (Autor:in)
  • Christian Beck - , Queen Mary University of London (Autor:in)
  • Dirk Witthaut - , Forschungszentrum Jülich, Universität zu Köln (Autor:in)
  • Marc Timme - , Professur für Netzwerk-Dynamik (cfaed), Max Planck Institute for Dynamics and Self-Organization (Autor:in)
  • Benjamin Schafer - , Professur für Netzwerk-Dynamik (cfaed), Queen Mary University of London, Max Planck Institute for Dynamics and Self-Organization (Autor:in)

Abstract

The energy system is rapidly changing to accommodate the increasing number of renewable generators and the general transition towards a more sustainable future. Simultaneously, business models and market designs evolve, affecting power-grid operation and power-grid frequency. Problems raised by this ongoing transition are increasingly addressed by transdisciplinary research approaches, ranging from purely mathematical modelling to applied case studies. These approaches require a stochastic description of consumer behaviour, fluctuations by renewables, market rules, and how they influence the stability of the power-grid frequency. Here, we introduce an easy-to-use, data-driven, stochastic model for the power-grid frequency and demonstrate how it reproduces key characteristics of the observed statistics of the Continental European and British power grids. Using data analysis tools and a Fokker-Planck approach, we estimate parameters of our deterministic and stochastic model. We offer executable code and guidelines on how to use the model on any power grid for various mathematical or engineering applications.

Details

OriginalspracheEnglisch
Seiten (von - bis)43082-43097
Seitenumfang16
FachzeitschriftIEEE access
Jahrgang8
PublikationsstatusVeröffentlicht - 2020
Peer-Review-StatusJa

Externe IDs

ORCID /0000-0002-5956-3137/work/142242413

Schlagworte

Schlagwörter

  • control systems, data-driven model, Fokker-Planck equation, parameter estimation, power-grid frequency, Stochastic modelling, swing equation

Bibliotheksschlagworte