基于遗传算法的配电网故障恢复模型研究

Genetic Algorithm based FaultRestorationin Distribution Network Model Research

配电网的故障恢复算法的功能是在允许的操作条件和电气约束下,通过网络重构尽可能多地将停电区域的负荷转供到正常的馈线上。最终得到的解是一系列开关组合。如果仅采用传统的穷举法搜索将出现"组合爆炸"问题。使问题更趋复杂。针对这一问题,提出了一种基于遗传算法的配电网故障恢复算法。算法采用适应度比例法与最佳个体保存法相结合的选择方法,可以快速改进自适应调整的交叉率和变异率,最大化提高计算效率。

The distribution network fault recovery algorithm function is within the permissible operating conditions and electrical constraints,through the network as much as possible to the blackout zone load transfer to the normal feeder.The final of the solution is a series of switch combination.If only using the traditional method of exhaustion search will appear ＂ combination explosion ＂ problem.To make the problem more complicated.This article in view of this question,proposed one kind based on the genetic algorithm in distribution network reconfiguration algorithm.The algorithm used the fitness ratio method and the best individual preservation method combining selection method,can be quickly improved adaptive crossover rate and mutation rate,the maximum increase calculation efficiency.