计算机与数字工程2024，Vol.52Issue(4)：1205-1209,1256,6.DOI:10.3969/j.issn.1672-9722.2024.04.044
适用于配电网无功优化的混合鱼群算法
A Hybrid Fish Swarm Algorithm for Reactive Power Optimization in Distribution Networks
摘要
Abstract
The artificial fish swarm algorithm is the same as the traditional swarm intelligence algorithm.Because of the ran-domness of the basic population and the uncertainty of the optimization route,the algorithm may not find the optimal solution.In or-der to solve the above problems,chaotic sequence is used to generate more uniform initial values.The adaptive field of view and step size are used to dynamically change the search range.An improved biological"elimination"mechanism is introduced,and the genes of contemporary and elite individuals are used to eliminate the fish schools and speed up the convergence.The hybrid algo-rithm is used in the reactive power optimization of the IEEE33-bus system distribution network.The results show that the improved algorithm is easier to jump out of the local optimum,and the convergence speed is faster,the convergence performance is better,and the optimization efficiency is improved.关键词
人工鱼群算法/混沌变换/自适应/进化机制/无功优化Key words
artificial fish swarm algorithm/chaotic sequence/adaptive/elimination mechanism/reactive power optimization分类
信息技术与安全科学引用本文复制引用
管恩齐,何晋,骆通..适用于配电网无功优化的混合鱼群算法[J].计算机与数字工程,2024,52(4):1205-1209,1256,6.基金项目
云南省教育厅科学研究基金项目(编号:2021Y654)资助. （编号:2021Y654）
