Hybrid-Energy Storage Optimization Based on Successive Variational Mode Decomposition and Wind Power Frequency Modulation Power Fluctuation

Changqing Chen (), Weihua Tang, Yunqing Xia and Chang Chen
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Changqing Chen: School of Mechanical and Electrical Engineering, Hunan City University, Yiyang 413000, China
Weihua Tang: Hunan Electric Power Design Institute Co., Ltd., China Energy Construction Group, Changsha 410007, China
Yunqing Xia: Xiangtan Motor Co., Ltd., Xiangtan 411201, China
Chang Chen: School of Mechanical and Electrical Engineering, Hunan City University, Yiyang 413000, China

Energies, 2024, vol. 17, issue 17, 1-16

Abstract: In order to solve the problem of frequency modulation power deviation caused by the randomness and fluctuation of wind power outputs, a method of auxiliary wind power frequency modulation capacity allocation based on the data decomposition of a “flywheel + lithium battery” hybrid-energy storage system was proposed. Firstly, the frequency modulation power deviation caused by the uncertainty of wind power is decomposed by the successive variational mode decomposition (SVMD) method, and the mode function is segmented and reconstructed by high and low frequencies. Secondly, a mathematical model is established to maximize the economic benefit of energy storage considering the frequency modulation mileage, and quantum particle swarm optimization is used to solve the target model considering the charging and discharging power of energy storage and the charging state constraints to obtain the optimal hybrid-energy storage configuration. Finally, the simulation results show that, in the step disturbance, the Δ f max of the hybrid-energy storage mode is reduced by 37.9% and 15.3%, respectively, compared with single-energy storage. Under continuous disturbance conditions, compared with the single-energy storage mode, the Δ f p_v is reduced by 52.73%, 43.72%, 60.71%, and 47.62%, respectively. The frequency fluctuation range is obviously reduced, and the frequency stability is greatly improved.

Keywords: successive variational mode decomposition; flywheel; lithium battery; frequency modulation; capacity allocation (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
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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