储能科学与技术2024，Vol.13Issue(2)：503-514,12.DOI:10.19799/j.cnki.2095-4239.2023.0689
基于改进多目标粒子群算法的储能电站定容选址优化配置研究
Optimal allocation of energy storage power station based on improved multi-objective particle swarm optimization
摘要
Abstract
The electrochemical energy storage power station has been gradually applied on a large scale in a high proportion of the new energy power grid,and its optimal configuration strategy largely determines the effectiveness of frequency and voltage regulation in its auxiliary power grid.To realize the optimal configuration of the electrochemical energy storage power station,this study first examines the control strategy of energy storage participating in the frequency and voltage regulation of the power system under a high proportion of new energy.It proposes a control method based on the variable coefficient frequency-voltage sag.Then,the multi-objective optimal configuration model for the energy storage system participating in the frequency and voltage regulation of the power grid under a high proportion of the new energy grid is established.The model considers the comprehensive indices of frequency modulation,voltage regulation,and system cost as optimization objectives.The improved multi-objective particle swarm optimization algorithm is employed to optimize the configuration of control parameters and the location and capacity of the energy storage system.To address subjectivity in the data,the entropy weight method is used to select the optimal scheme from the obtained multi-objective solution set.Finally,a practical example of a regional power grid of a city is used to optimize the allocation of energy storage.The comprehensive indices of regional power grid voltage regulation and frequency modulation were reduced by 9.2%and 25.1%,respectively.The voltage and frequency deviation of regional power grid nodes was considerably reduced,improving the effect of voltage regulation and frequency modulation.This verifies the effectiveness and superiority of the proposed energy storage fixed capacity location allocation method.关键词
储能/高比例新能源/多目标/优化配置Key words
energy storage/new energy with high proportion/multi-objective/optimized configuration分类
信息技术与安全科学引用本文复制引用
肖厦颖,范传光,郭峰,杨天鑫,王栋,黄云辉..基于改进多目标粒子群算法的储能电站定容选址优化配置研究[J].储能科学与技术,2024,13(2):503-514,12.基金项目
国家自然科学基金资助项目(52307217). （52307217）
