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研究了电力系统配电网的无功优化问题,提出了一种改进遗传算法并将其应用到煤矿供电系统的无功优化中。该算法将用于参加迭代运算的群体分为2组,对2组采用不同的操作方法,分别进行进化,并引入灾变算子以提高解的全局性。最后通过对某煤矿供电系统的无功优化验证了所采用算法的有效性。
The problem of reactive power optimization in distribution system of power system is studied. An improved genetic algorithm is proposed and applied to the reactive power optimization of coal mine power supply system. The algorithm divides the groups used for iterative computing into two groups, adopts different operation methods for two groups, and respectively evolves, and introduces the catastrophe operator to improve the overall solution. Finally, the effectiveness of the proposed algorithm is verified by the reactive power optimization of a coal mine power supply system.