【摘要】 为解决以网损最小为目标的配电网重构问题 ,构建了一个双层遗传算法计算体系 ,使同一代的个体适应度计算即配电网的潮流计算被分配在几台计算机上同时进行 ,明显提高了求解效率。同时采用一种简单的编码方式使底层遗传操作只在可行解范围内进行 ,利用改良的遗传操作 ,在高层遗传操作中避免形成不可行解。最后通过两机并行计算的仿真验证该算法的可行性更多还原

【Abstract】 Aimed at network loss reduction this paper presents a new approach termed hierarchic genetic algorithm(HGA) for power distribution system reconfiguration. A partheno genetic algorithm is in the upper module and another genetic algorithm is in the lower module. Combined with parallel calculation, the load flow computation for counterparts is settled in several computers simultaneously. Additionally, an improved GA is developed to avoid unfeasible solutions, so that the genetic operations can proceed only in feasible solutions space. The new approach is tested on two database and shows that it produces superior results.更多还原