基于改进自适应遗传算法的配电网重构

摘要

Distribution network reconfiguration as self-healing smart grid is an important part of distribution network in fault plays an important role. Whereas some of the methods in the distribution network reconfiguration of various shortcomings. This article in view of the traditional adaptive crossover and mutation in genetic algorithm prone to premature phenomenon. An improved adaptive genetic algorithm is proposed to protect the excellent individuals from the parameters of the crossover rate and mutation rate, and select a suitable parameter value. The majority of the inferior individuals in the sub generation improve the convergence, effectively retain the excellent individual in the sub generation, and consider the number of switches. The simulation results of IEEE33 system show that the algorithm has fast convergence and applicability.%配电网络重构作为智能电网自愈性的一个重要组成部分，在多故障发生的配电网中起着重要的作用，而以往的一些方法在配电网重构中存在着各种不足，本文针对传统自适应遗传算法中交叉和变异环节易早熟现象。提出了一种改进的自适应遗传算法来保护优秀个体，从交叉率和变异率的参数入手，选择一个合适的参数值，淘汰子代中多数劣势个体提高收敛性，有效地保留子代中的优秀个体，同时考虑可操作开关数，使用了二进制编码方式消除了初始种群的不可行解。IEEE33系统的仿真结果表明该算法具有快速的收敛性和适用性。