HYBRID ENERGY STORAGE WIND POWER FLUCTUATION STABILIZATION STRATEGY BASED ON MULTI-LAYER ENERGY MANAGEMENT

Yan Laiqing; Wang Kang; Xu Jiaqi; Zhai Zhuotao; Zheng Lixing; Liu Miao

doi:10.19912/j.0254-0096.tynxb.2024-0812

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 98-107. DOI: 10.19912/j.0254-0096.tynxb.2024-0812

HYBRID ENERGY STORAGE WIND POWER FLUCTUATION STABILIZATION STRATEGY BASED ON MULTI-LAYER ENERGY MANAGEMENT

Yan Laiqing¹, Wang Kang¹, Xu Jiaqi¹, Zhai Zhuotao¹, Zheng Lixing¹, Liu Miao^2,3

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Abstract

This study examines a wind power fluctuation smoothing strategy for a hybrid energy storage system comprising supercapacitors and lithium batteries to achieve stable grid connection for wind power. An adaptive sliding average algorithm, which accounts for the upper limit of window length, is introduced to smooth real-time wind power. Subsequently, the computed hybrid power undergoes variational mode decomposition （VMD） to extract modal components, and composite entropy serves as the objective for the improved hunter-prey optimizer （IHPO） to optimize the predetermined VMD parameters. Secondly, the high and low-frequency cutoff points are established through the Hilbert transform, withhigh-frequency signals allocated to the supercapacitor and the low-frequency signal designated for the lithium batteries. A multilayer energy management strategy is proposed to achieve dynamic optimization and redistribution of hybrid energy storage power, taking into account the state of charge （SOC） during the charging and discharging processes of the energy storage devices. Finaly simulation resaalty confirm that the proposed strategy can effectively mitigate wind power fluctuations while ensuring that the state of charge （SOC） of both supercapacito, and lithium-ion batteries operates within acceptable ranges, resulting in a cumulative deviation reduction of 13.8% and 14.9%, respectively, compared to before pre-improvement.

Key words

wind power / energy management / variational mode decomposition / fluctuation smoothing / upper limit of window length / improved hunter-prey optimizer

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Yan Laiqing, Wang Kang, Xu Jiaqi, Zhai Zhuotao, Zheng Lixing, Liu Miao. HYBRID ENERGY STORAGE WIND POWER FLUCTUATION STABILIZATION STRATEGY BASED ON MULTI-LAYER ENERGY MANAGEMENT[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 98-107 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0812

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