LAPSE:2023.35645
Published Article
LAPSE:2023.35645
Review of RoCoF Estimation Techniques for Low-Inertia Power Systems
Xiaoyu Deng, Ruo Mo, Pengliang Wang, Junru Chen, Dongliang Nan, Muyang Liu
May 23, 2023
Abstract
As the traditional generation is gradually replaced by inverter-based resources, a lack of rotational inertia is now a common issue of modern power systems, which leads to an increasingly larger rate of change of frequency (RoCoF) following contingencies and may result in frequency collapse. As a crucial index of the frequency security and stability of power systems, the accurate estimation of the RoCoF can be a foundation for the development of advanced operations and control techniques of the future power system. This paper firstly analyzes the role of the RoCoF in typical blackouts occurring in recent years and discusses the physical and numerical nature of the RoCoF; then, by introducing the frequency spatial distribution of the power system, the paper discusses the concept of the “center” RoCoF that can present the frequency security and stability of the entire system. The estimation and prediction techniques of the maximal power system RoCoF following a contingency and the existing real-time tracking techniques of the power system RoCoF are comprehensively reviewed. Finally, the open questions and related research topics of the RoCoF estimation are discussed.
Keywords
frequency stability, phasor measurement unit (PMU), power system stability, rate of change of frequency (RoCoF)
Suggested Citation
Deng X, Mo R, Wang P, Chen J, Nan D, Liu M. Review of RoCoF Estimation Techniques for Low-Inertia Power Systems. (2023). LAPSE:2023.35645
Author Affiliations
Deng X: School of Electrical Engineering, Xinjiang University, Urumqi 830046, China
Mo R: School of Electrical Engineering, Xinjiang University, Urumqi 830046, China
Wang P: School of Electrical Engineering, Xinjiang University, Urumqi 830046, China
Chen J: School of Electrical Engineering, Xinjiang University, Urumqi 830046, China
Nan D: Electric Power Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China
Liu M: School of Electrical Engineering, Xinjiang University, Urumqi 830046, China [ORCID]
Journal Name
Energies
Volume
16
Issue
9
First Page
3708
Year
2023
Publication Date
2023-04-26
ISSN
1996-1073
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PII: en16093708, Publication Type: Review
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LAPSE:2023.35645
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https://doi.org/10.3390/en16093708
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May 23, 2023
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May 23, 2023
 
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Calvin Tsay
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