Affiliation:
1. School of Mechanical and Electrical Engineering, Hunan City University, Yiyang 413000, China
2. Xiangtan Motor Co., Ltd., Xiangtan 411201, China
3. Hunan Electric Power Design Institute Co., Ltd., China Energy Construction Group, Changsha 410007, China
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 Δfmax 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 Δfp_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.
Funder
Hunan Provincial Natural Science Regional Joint Fund
Hunan Provincial Department of Education Outstanding Youth Project
Research on Hybrid Energy storage Configuration and Control Technology of Wind Farm with Active Response to frequency modulation and peak Regulation
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