基于多层能量管理的混合储能风电功率波抑策略

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

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基于多层能量管理的混合储能风电功率波抑策略

更新时间：2025-10-22

- 基于多层能量管理的混合储能风电功率波抑策略
- Vol. 46, Issue 9, Pages: 98-107(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0812
  CLC： TM614
- Published Online：14 October 2025，
  
  Published：2025
- 稿件说明：
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[J]. 2025, 46(9): 98-107.
DOI：

[J]. 2025, 46(9): 98-107. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0812.

摘要

针对由超级电容与锂电池构成的混合储能系统

研究风电功率波动平抑策略实现风电平滑并网。首先

提出考虑窗口长度上限的自适应滑动平均算法对实时风电功率进行平滑处理

同时将计算得到的混合功率进行变分模态分解（VMD）得到模态分量

并以复合熵为目标采用改进的猎食者算法（IHPO）对VMD预设参数寻优。其次

通过Hilbert变换确定高低频分界频率

将高频信号分配给超级电容

低频信号分配给锂电池。考虑储能设备充放电过程中的荷电状态（SOC）

提出多层能量管理策略实现混合储能功率的动态优化与再分配。最后

通过仿真对比

验证该文所提策略能有效平抑风电功率波动

同时保证超级电容与锂电池两种储能设备的SOC工作在合理区间且累积偏差量较改进前分别减少13.8%和14.9%。

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.

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