This title appears in the Scientific Report :
2020
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.
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...
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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://hdl.handle.net/2128/24599 in citations.
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520 | |a 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. | ||
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700 | 1 | |a Witthaut, Dirk |0 P:(DE-Juel1)162277 |b 3 | |
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