基于粒子群遗传算法的配电网络重构

配电网络重构是配电自动化的重要组成部分,也是优化网络、降低有功损耗的重要手段。针对单一算法求解问题的局限性,提出一种多目标优化模型,并结合遗传算法的进化思想和粒子群算法的记忆性提出粒子群遗传算法,同时引入混合编码策略,通过线性权重法获得目标的搜索方向。通过对IEEE69节点测试系统进行计算和分析,验证算法在求解配电网重构中的有效性和可行性。

Reconfiguration of Distribution Network based on Particle Swarm Optimization Genetic Algorithm

The reconfiguration of distribution network is an important part of distribution automation, and also an important means to optimize the network and reduce active power loss. In view of the limitations of single algorithm, this paper presents a multi-objective optimization model, and puts forward particle swarm genetic algorithm based on the evolution of the genetic algorithm and the memory of the particle swarm algorithm meanwhile introducing hybrid coding strategy and obtaining the search target through the linear weighting method. The effectiveness and feasibility of the method was verified based on the calculation and analysis of the IEEE69 node test system.