发电技术2025，Vol.46Issue(6)：1144-1153,10.DOI:10.12096/j.2096-4528.pgt.24077
基于变分模态分解的平抑风电波动混合储能容量优化配置
Optimization Configuration of Hybrid Energy Storage Capacity for Wind Power Fluctuation Smoothing Based on Variational Mode Decomposition
摘要
Abstract
[Objectives]To address the issues of variability and intermittency of wind power generation,a configuration scheme of hybrid energy storage system for wind power smoothing is proposed.The system integrates lithium-ion batteries and supercapacitors into the proposed wind power system to reduce its instability.[Methods]Firstly,filtering techniques of exponential smoothing and recursive weighted average are used to dynamically adjust their weights,determining both the grid-connected wind power and the reference power for the energy storage system.Then,particle swarm optimization algorithm is applied to adjust the parameters of variational mode decomposition,decomposing the reference power of the energy storage system into high-frequency and low-frequency components,which are handled by supercapacitors and lithium-ion batteries,respectively.Finally,a lifecycle optimization configuration model for the hybrid energy storage system is developed to minimize the configuration costs of storage facilities.[Results]The proposed solution can make the output power better meet the grid-connected standard,reduce the grid-connected power output time,and realize the functional complementarity between lithium-ion batteries and supercapacitors.[Conclusions]The proposed solution effectively addresses the variability and intermittency of wind power generation,achieving optimal energy storage configuration and striking a balance between economic efficiency and stabilize fluctuation performance.关键词
风电波动平抑/风电系统/加权算法/混合储能/变分模态分解/粒子群/容量配置/成本效益Key words
wind power fluctuation smoothing/wind power system/weighted algorithm/hybrid energy storage/variational mode decomposition/particle swarm/capacity configuration/cost effectiveness分类
能源科技引用本文复制引用
张萍,李永强,杏华良..基于变分模态分解的平抑风电波动混合储能容量优化配置[J].发电技术,2025,46(6):1144-1153,10.基金项目
兰州市科技计划项目(2025-3-081).Project Supported by Science and Technology Plan Project of Lanzhou City(2025-3-081). （2025-3-081）
