西安石油大学学报（自然科学版）2024，Vol.39Issue(4)：124-131,8.DOI:10.3969/j.issn.1673-064X.2024.04.017
基于改进二进制PSO配电网动态重构
Dynamic Reconfiguration of Distribution Network Based on Improved Binary Particle Swarm Optimization Algorithm
摘要
Abstract
With the continuous access of distributed power supplies,the load and power supplies in the distribution network are con-stantly changing.Traditional load calculation methods have the problem of slow convergence speed and easy to fall into local optima.Therefore,in this paper it is proposed that the daily load curve is divided into time periods by using information entropy,and a distribu-tion network reconstruction model is established with the objective function of minimizing network loss.In response to the problem of slow convergence and tendency to fall into local optima in traditional PSO,the PSO is improved based on the tabu search algorithm.The global search ability of the algorithm is improved by setting a tabu table,and the topology structure is constrained by the breaking circle way to reduce the occurrence of invalid topologies and accelerate the convergence speed of the algorithm.The feasibility and effective-ness of the improved particle swarm optimization algorithm are verified through the reconstruction simulation of IEEE33 node distribu-tion system.关键词
配电网/分布式电源/动态重构/禁忌搜索算法/粒子群算法Key words
distribution network/distributed power supply/dynamic reconstruction/Tabu search algorithm/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
武晓朦,李晨晨,党博..基于改进二进制PSO配电网动态重构[J].西安石油大学学报（自然科学版）,2024,39(4):124-131,8.基金项目
陕西省创新计划项目(2020KJXX-018) （2020KJXX-018）
陕西省科技计划基础研究项目(2021JM-404) （2021JM-404）
西安石油大学研究生创新与实践能力培养项目(YCS21213202) （YCS21213202）
