Capacity Optimization Allocation Method for SOEC-Li Ion Battery Hybrid Energy Storage System Based on WOA

WU Xin; ZHANG Lixi; HU Chao; HUANG Bohang; XIONG Xingyu; MA Zhiyong

doi:10.19805/j.cnki.jcspe.2025.240457

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Capacity Optimization Allocation Method for SOEC-Li Ion Battery Hybrid Energy Storage System Based on WOA

更新时间：2025-11-28

- Capacity Optimization Allocation Method for SOEC-Li Ion Battery Hybrid Energy Storage System Based on WOA
- Chinese Journal of Power Engineering Vol. 45, Issue 9, Pages: 1453-1462(2025)
- 作者机构：
  
  1. 华北电力大学能源动力与机械工程学院,北京,102206
  2. 中国矿业大学机械与电气工程学院,北京,100083
  3. 怀柔实验室山西研究院,山西,太原,030032
- 作者简介：
- 基金信息：
- DOI：10.19805/j.cnki.jcspe.2025.240457
  CLC：
- Published Online：16 September 2025，
  
  Published：2025
- 稿件说明：
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武鑫,张李希,胡超,黄博航,熊星宇,马志勇. 基于WOA的SOEC-锂离子电池混合储能系统容量优化配置方法动力工程学报, 2025, 45(9): 1453-1462 https://doi.

org/10.19805/j.cnki.jcspe.2025.240457
武鑫,张李希,胡超,黄博航,熊星宇,马志勇. 基于WOA的SOEC-锂离子电池混合储能系统容量优化配置方法动力工程学报, 2025, 45(9): 1453-1462 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.240457.

org/10.19805/j.cnki.jcspe.2025.240457 DOI：

摘要

建立了固体氧化物电解池(SOEC)和锂离子电池储能系统模型并分析了各自的瞬态响应特性

提出了SOEC系统的前馈模型预测控制方法。然后

基于连续变分模态分解和变分模态分解方法

结合鲸鱼优化算法(WOA)

提出了SOEC-锂离子电池混合储能系统容量优化配置方法。最后

根据某额定装机容量30 MW风电场实际输出功率数据

通过仿真验证所提出方法的有效性。结果表明:混合储能系统能够有效利用部分风能电解制氢

并实现了风电场-混合储能系统的联合输出功率达到并网标准和系统初始投资成本最低的目标;SOEC系统达到了设定的电解效率

且锂离子电池储能阵列处于健康状态。

Abstract

A model of the solid oxide electrolysis cell (SOEC) and lithium-ion battery energy storage system was established

and their respective transient response characteristics were analyzed. A feed-forward model predictive control method for the SOEC system was proposed. Then

based on the continuous variational mode decomposition and variational mode decomposition methods

combined with the whale optimization algorithm (WOA)

a capacity optimization allocation method for the SOEC-lithium-ion battery hybrid energy storage system was proposed. Finally

the effectiveness of the proposed method was verified through simulation experiments according to the actual output power data of a wind farm with rated installed capacity of 30 MW. Results show that the hybrid energy storage system can effectively utilize part of the wind energy for electrolysis to produce hydrogen

and realize the goals that the combined output power of the wind farm and hybrid energy storage system fulfills the grid-connected standards and the initial investment cost of the hybrid energy storage system is the lowest. At the same time

the SOEC system reaches the set electrolysis efficiency and the lithium-ion battery storage array is in a healthy state.

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Keywords

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