电力系统及其自动化学报2025，Vol.37Issue(10)：75-84,10.DOI:10.19635/j.cnki.csu-epsa.001450
基于IBAS-IPSO算法的交直流混合微网运行优化
Operation Optimization of AC/DC Hybrid Microgrid Based on IBAS-IPSO Algorithm
摘要
Abstract
Aimed at the multi-objective operation optimization model of AC/DC hybrid microgrid with various objective functions and complex constraints,as well as the low searching efficiency and easily falling into local optimums when using the particle swarm optimization(PSO)algorithm,a dual-search optimization algorithm is proposed by integrating the improved particle swarm optimization(IPSO)and improved beetle antennae search(IBAS)algorithms,i.e.,IBAS-IPSO algorithm.First,the dynamic adaptive parameters are introduced to change the inertia weight factor and learning factor on the basis of the PSO algorithm.Second,a dynamic step search mechanism is applied to the beetle antennae search algorithm in order to improve the convergence accuracy of the PSO algorithm.Finally,the proposed algorithm is adopted to optimize the operation of AC/DC hybrid microgrid with the objectives of economy and environmental protec-tion.Results show that compared with other algorithms,this algorithm has lower operation and environmental protection costs and a shorter operation time,showing certain value for engineering applications.关键词
交直流混合微网/经济性/环保性/改进粒子群优化算法/改进天牛须搜索算法/运行优化Key words
AC/DC hybrid microgrid/economy/environmental protection/improved particle swarm optimization(IP-SO)algorithm/improved beetle antennae search(IBAS)algorithm/operation optimization分类
动力与电气工程引用本文复制引用
潘鹏程,荣梦杰,香静,徐恒山..基于IBAS-IPSO算法的交直流混合微网运行优化[J].电力系统及其自动化学报,2025,37(10):75-84,10.基金项目
武汉理工大学自主创新研究基金(B2022002) （B2022002）
宜昌市科技计划项目(A22-3-008). （A22-3-008）
