Research on Primary Frequency Regulation Control Strategy of the Joint Hydropower and Battery Energy Storage System Based on Refined Model

Yifeng Gu, Fangqing Zhang (), Youping Li, Youhan Deng, Xiaojun Hua, Jiang Guo and Tingji Yang
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Yifeng Gu: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
Fangqing Zhang: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
Youping Li: China Yangtze Power Co., Ltd., Wuhan 430010, China
Youhan Deng: Laboratory of Hydro-Wind-Solar Multi-Energy Control Coordination, Wuhan 430014, China
Xiaojun Hua: China Yangtze Power Co., Ltd., Wuhan 430010, China
Jiang Guo: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
Tingji Yang: School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China

Energies, 2025, vol. 18, issue 19, 1-15

Abstract: This study aims to reduce reverse power and improve frequency regulation performance in hydropower systems. To achieve this objective, a refined hydropower plant (HPP) simulation model is developed and coupled with a battery energy storage system (BESS), implementing an Integrated Adaptive Virtual Droop Control (IAVDC) strategy. The refined HPP model achieves a simulation accuracy of 98.5%, representing a 26.2% improvement over conventional simplified models. With the BESS integrated under the IAVDC strategy, reverse power is completely eliminated, and frequency regulation time is substantially shortened. The results demonstrate that the joint HPP-BESS frequency regulation effectively mitigates the adverse impact of water hammer, while the proposed IAVDC strategy enhances system responsiveness and reduces frequency recovery time, thereby improving the quality of primary frequency control.

Keywords: hydropower plant; battery energy storage system; refined model; primary frequency control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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