摘要
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。
This paper studies the reactive power optimization in power system, proposed an improved genetic algorithm and its application to reactive power optimization in coal mine power system. In the algorithm,the iterative generation is divided into two groups using different methods of operation and using catastrophic operator to improve global solution.The reactive power optimization test in one coal power system shows the effectiveness of the proposed methods.
出处
《煤矿机械》
北大核心
2013年第10期59-61,共3页
Coal Mine Machinery
关键词
无功优化
改进遗传算法
分组进化
灾变算子
reactive power optimization
improved genetic algorithm
evolution of separated groups
catastrophic operator
