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Regular Paper | Open Access

Dynamic Frequency Regulation of Wind Turbine Generators via Kinetic Energy Trajectory-based Control

Ziyang Huang1Zihan Wang1Xiaonan Zhang1Gengyin Li1Jianxiao Wang2Tiance Zhang1( )
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing 100871, China
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Abstract

To mitigate the deterioration of the system frequency response (SFR) caused by the increasing penetration of wind power, wind turbine generators are required to release their kinetic energy during frequency events to provide dynamic frequency support. Existing additional frequency control (AFC) primarily focuses on simulating output power with insufficient attention given to actual energy variations, thus posing challenges in optimizing energy management while maintaining control continuity. Moreover, abrupt control switching to avoid over-deceleration has a negative impact on the SFR. To address these issues, this paper proposes a novel AFC based on the kinetic energy trajectory (KET). An explicit smooth KET is first designed to serve as the energy reference. Specifically, the KET generates a positive power deviation when frequency drops and stores as much energy as possible when frequency rises. Then, the KET recovers energy to its initial state as frequency stabilizes. An adaptive sliding mode control is also employed to ensure the convergence of energy towards the KET, while enhancing robustness against various errors. Finally, the effectiveness and superiority of the proposed control are verified through an extended SFR model and a modified IEEE 9-bus system.

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CSEE Journal of Power and Energy Systems
Pages 698-711

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Cite this article:
Huang Z, Wang Z, Zhang X, et al. Dynamic Frequency Regulation of Wind Turbine Generators via Kinetic Energy Trajectory-based Control. CSEE Journal of Power and Energy Systems, 2026, 12(2): 698-711. https://doi.org/10.17775/CSEEJPES.2024.08610

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Received: 18 November 2024
Revised: 17 February 2025
Accepted: 24 March 2025
Published: 16 May 2025
© 2024 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).