Journal Article FZJ-2020-01578

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

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2020
APS College Park, MD

Physical review research 2(1), 013339 () [10.1103/PhysRevResearch.2.013339]

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Abstract: 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.

Classification:

Contributing Institute(s):
  1. Systemforschung und Technologische Entwicklung (IEK-STE)
Research Program(s):
  1. 153 - Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security (POF3-153) (POF3-153)
  2. ES2050 - Energie Sytem 2050 (ES2050) (ES2050)
  3. VH-NG-1025 - Helmholtz Young Investigators Group "Efficiency, Emergence and Economics of future supply networks" (VH-NG-1025_20112014) (VH-NG-1025_20112014)

Appears in the scientific report 2020
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Creative Commons Attribution CC BY 4.0 ; OpenAccess
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Dokumenttypen > Aufsätze > Zeitschriftenaufsätze
Workflowsammlungen > Öffentliche Einträge
IEK > IEK-STE
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Open Access

 Datensatz erzeugt am 2020-03-25, letzte Änderung am 2021-01-30


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