基于改进的动态多种群粒子群优化算法的配电网重构  

Distribution Network Reconstruction Based on Improved Dynamic Multi-population Particle Swarm Optimization Algorithm

作　　者：袁昕 刘明红 王鹏朝 李清 Yuan Xin;Liu Minghong;Wang Pengzhao;Li Qing(Economic and Technological Research Institute of State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi,China)

机构地区：[1]国网新疆电力有限公司经济技术研究院,新疆乌鲁木齐

出　　处：《科学技术创新》2023年第24期18-21,共4页Scientific and Technological Innovation

摘　　要：提出了一种改进的动态多种群粒子群优化算法(DMS-PSO)的配电网重构算法,引入了基于集合的更新策略来解决组合问题,并结合邻域的学习策略来提高算法的局部搜索能力。此外,为了解决较大比例的拓扑不可行解问题,提出了修复机制。最后,在PG&E 69节点系统仿真结果表明,具有较高的精度和计算效率。An improved network reconfiguration based on dynamic multi-population particle swarm optimization algorithm(DMS-PSO)is proposed in this paper.A set based update strategy is introduced to solve the combination problem,and a neighborhood learning strategy is combined to improve the local search ability of the algorithm.In addition,in order to solve the problem of a large proportion of topology infeasible solutions,a repair mechanism is proposed.Finally,The results of PG&E 69-node distribution systems shows higher accuracy and the lower computation time.

关 键 词：粒子群优化算法 配电网 重构 不可行解 

分 类 号：TM726[电气工程—电力系统及自动化]