太原理工大学学报2025，Vol.56Issue(3)：381-389,9.DOI:10.16355/j.tyut.1007-9432.20230394
基于蚁狮算法电池储能频率调节的容量优化方法研究
Research on Optimal Allocation Method of Secondary Frequency Modulation Capacity of Battery Energy Storage Based on Antlion Algorithm
摘要
Abstract
[Purposes]At present,the high proportion of new energy connected to the power sys-tem leads to severe challenges to its frequency stability and power quality.In order to solve the prob-lem of capacity size when the energy storage battery system assists the power grid in frequency modu-lation,a capacity optimization configuration model for energy storage secondary frequency modulation is proposed,and then the Antlion optimization algorithm is used to optimize and solve the parameters of the model.[Methods]Since a large number of actual parameters were required for optimizing the configuration model,an energy storage output simulation model was constructed on the basis of the characteristics of secondary frequency regulation to provide parameters for the optimization configura-tion model.Afterwards,considering the basic action output and a certain capacity margin,a secondary frequency regulation output model for energy storage was established,and the Antlion algorithm was used to solve the optimized configuration model.[Results]Three sets of experiments are designed for comparative analyses to demonstrate the effectiveness of the proposed method in setting capacity mar-gin,which can increase revenue to a certain extent and provide a method for stabilizing the power grid frequency after the new energy integration.关键词
电能质量/电池储能系统/二次调频/蚁狮算法Key words
power quality/battery energy storage system/secondary frequency modulation/Ant-lion algorithm分类
信息技术与安全科学引用本文复制引用
肖春..基于蚁狮算法电池储能频率调节的容量优化方法研究[J].太原理工大学学报,2025,56(3):381-389,9.基金项目
山西省基础研究计划青年科学研究项目(202303021222394) （202303021222394）
国网山西省电力公司科技项目资助(52051L230002) （52051L230002）
