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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 function of the fault recovery algorithm of the distribution network is to reroute the load of the power failure area to the normal feeder as much as possible through network reconfiguration under the allowable operating conditions and electrical constraints. The resulting solution is a series of switch combinations. If only the traditional exhaustive search will appear “combo explosion ” problem. Make the problem more complicated. In response to this problem, a genetic algorithm based fault recovery algorithm for distribution network is proposed. The algorithm adopts the selection method of the combination of the fitness ratio method and the best individual preservation method, which can rapidly improve the crossover rate and mutation rate of adaptive adjustment and maximize the computational efficiency.