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基于IPOA-VMD的风储联合发电系统混合储能容量配置

皮晟源 刘牧阳 陈雨田 王静 陈俊儒

电力系统及其自动化学报2025,Vol.37Issue(8):87-96,10.
电力系统及其自动化学报2025,Vol.37Issue(8):87-96,10.DOI:10.19635/j.cnki.csu-epsa.001580

基于IPOA-VMD的风储联合发电系统混合储能容量配置

Hybrid Energy Storage Capacity Configuration for Wind-storage Co-generation System Based on IPOA-VMD

皮晟源 1刘牧阳 1陈雨田 1王静 1陈俊儒1

作者信息

  • 1. 新疆大学电气工程学院,乌鲁木齐 830046
  • 折叠

摘要

Abstract

Aimed at the problem of safe and stable grid operation caused by large-scale grid-connected wind power,a capacity optimization configuration method for a hybrid energy storage system(HESS)based on improved adaptive vari-ational modal decomposition(VMD)algorithm is proposed.First,the grid-connected wind power and the reference power of hybrid energy storage that meet the national grid-connection standard are obtained by an adaptive moving aver-age algorithm.Second,the optimal combination of the number of modes and the quadratic penalty factor in the VMD al-gorithm is determined by an improved pelican optimization algorithm(IPOA).Then,the total power of HESS is decom-posed and reconstructed using IPOA-VMD,and the power allocation of HESS is completed accordingly.Finally,the op-timal configuration model of HESS capacity is established,and the corresponding optimal economic scheme is solved based on actual typical day data using the IPOA.The results of an example show that the proposed method can meet the national wind power grid-connection requirements and improve the economy of the system.

关键词

混合储能/变分模态分解/鹈鹕算法/功率分配/容量配置

Key words

hybrid energy storage/variational modal decomposition(VMD)/pelican optimization algorithm/power al-location/capacity configuration

分类

信息技术与安全科学

引用本文复制引用

皮晟源,刘牧阳,陈雨田,王静,陈俊儒..基于IPOA-VMD的风储联合发电系统混合储能容量配置[J].电力系统及其自动化学报,2025,37(8):87-96,10.

基金项目

国家重点研发计划资助项目(2021YFB1507005). (2021YFB1507005)

电力系统及其自动化学报

OA北大核心

1003-8930

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