Skip to content
VuFind
  • 0 Items in e-Shelf (Full)
  • History
  • User Account
  • Logout
  • User Account
  • Help
    • English
    • Deutsch
  • Books & more
  • Articles & more
  • JuSER
Advanced
 
  • Literature Request
  • Cite this
  • Email this
  • Export
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
    • Export to MARC
    • Export to MARCXML
    • Export to BibTeX
  • Favorites
  • Add to e-Shelf Remove from e-Shelf



QR Code
This title appears in the Scientific Report : 2020 

Stochastic properties of the frequency dynamics in real and synthetic power grids

Stochastic properties of the frequency dynamics in real and synthetic power grids

The frequency constitutes a key state variable of electrical power grids. However, as the frequency is subject to several sources of fluctuations, ranging from renewable volatility to demand fluctuations and dispatch, it is strongly dynamic. Yet, the statistical and stochastic properties of the freq...

More

Saved in:
Personal Name(s): Anvari, Mehrnaz (Corresponding author)
Gorjão, Leonardo Rydin / Timme, Marc / Witthaut, Dirk / Schäfer, Benjamin / Kantz, Holger
Contributing Institute: Systemforschung und Technologische Entwicklung; IEK-STE
Published in: Physical review research, 2 (2020) 1, S. 013339
Imprint: College Park, MD APS 2020
DOI: 10.1103/PhysRevResearch.2.013339
Document Type: Journal Article
Research Program: Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks"
Energie System 2050
Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security
Link: OpenAccess
OpenAccess
Publikationsportal JuSER
Please use the identifier: http://dx.doi.org/10.1103/PhysRevResearch.2.013339 in citations.
Please use the identifier: http://hdl.handle.net/2128/24599 in citations.

  • Description
  • Staff View

The frequency constitutes a key state variable of electrical power grids. However, as the frequency is subject to several sources of fluctuations, ranging from renewable volatility to demand fluctuations and dispatch, it is strongly dynamic. Yet, the statistical and stochastic properties of the frequency fluctuation dynamics are far from fully understood. Here we analyze properties of power-grid frequency trajectories recorded from different synchronous regions. We highlight the non-Gaussian and still approximately Markovian nature of the frequency statistics. Furthermore, we find that the frequency displays significant fluctuations exactly at the time intervals of regulation and trading, confirming the need of having a regulatory and market design that respects the technical and dynamical constraints in future highly renewable power grids. Finally, employing a recently proposed synthetic model for the frequency dynamics, we combine our statistical and stochastic analysis and analyze in how far dynamically modeled frequency properties match the ones of real trajectories.

  • Forschungszentrum Jülich
  • Central Library (ZB)
  • Powered by VuFind 6.1.1
Loading...