Coordinated Frequency Modulation Control Strategy of Wind Power and Energy Storage Considering Mechanical Load Optimization

Chaoyu Zhang (), Jiabin Li, Shiyi Liu, Peng Hu, Jiangzhe Feng, Haoyang Ren, Ruizhe Zhang and Jiaoxin Jia
Additional contact information
Chaoyu Zhang: Longyuan (Beijing) New Energy Engineering Technology Co. Ltd., Beijing 100034, China
Jiabin Li: Longyuan (Beijing) New Energy Engineering Technology Co. Ltd., Beijing 100034, China
Shiyi Liu: Longyuan (Beijing) New Energy Engineering Technology Co. Ltd., Beijing 100034, China
Peng Hu: Longyuan (Beijing) New Energy Engineering Technology Co. Ltd., Beijing 100034, China
Jiangzhe Feng: Longyuan (Beijing) New Energy Engineering Technology Co. Ltd., Beijing 100034, China
Haoyang Ren: Key Laboratory of Distributed Energy Storage and Micro-Grid of Hebei Province, North China Electric Power University, Baoding 071003, China
Ruizhe Zhang: Key Laboratory of Distributed Energy Storage and Micro-Grid of Hebei Province, North China Electric Power University, Baoding 071003, China
Jiaoxin Jia: Key Laboratory of Distributed Energy Storage and Micro-Grid of Hebei Province, North China Electric Power University, Baoding 071003, China

Energies, 2024, vol. 17, issue 13, 1-14

Abstract: When a doubly fed induction generator (DFIG) participates in primary frequency modulation by rotor kinetic energy control, the torque of the generator is changed sharply and the mechanical load pressure of the shaft increases rapidly, which aggravates the fatigue damage of shafting. In order to alleviate the fatigue load of shafting, energy storage was added in the primary frequency modulation of a wind turbine, and a coordinated frequency modulation control strategy of wind power and energy storage based on fuzzy control was proposed. The wind-storage frequency modulation power command was allocated to reduce the response speed of the wind turbine to alleviate the load pressure on the shafting by the fuzzy controller considering the rotor speed range and the state of energy storage charge, and the remaining demand power was supplemented by energy storage. Finally, the joint simulation model based on GH Bladed–Matlab was used to verify the effectiveness of the proposed control strategy. Compared with the traditional integrated control of virtual inertia, the proposed method can reduce the load pressure and fatigue damage of the shafting while satisfying the requirement of frequency modulation.

Keywords: DFIG; rotor kinetic energy; energy storage; mechanical load; fuzzy 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: 2024
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