遗传算法无功优化交叉算子分析  

Analysis of Crossover Operators of Genetic Algorithm for Reactive Power Optimization

作　　者：黄小银[1] 欧阳伟[2] 

机构地区：[1]上海市电力公司超高压输变电公司,上海市200122 [2]中国瑞林工程技术有限公司,江西南昌330031

出　　处：《有色冶金设计与研究》2011年第4期26-29,33,共5页Nonferrous Metals Engineering & Research

摘　　要：在简单遗传算法应用于无功优化问题的基础上,对适应度评价、选择、变异等核心操作做了相应的改进,并针对交叉算子提出了一种无功优化问题中交叉算子组合能力的计算方法,分析计算了常用交叉算子的组合能力。通过实例计算表明遗传算法的搜索性能和寻优能力与交叉算子组合能力具有相关性,交叉算子的组合能力可作为设计无功优化问题中遗传算法的参考指标。The paper has applied a simple genetic algorithm to reactive power optimization. On this basis, the paper has made corresponding improvement on core operations such as fitness evaluation, selection, and variation and then put forward a calculation method of crossover operator combinations in reactive power optimization to analyze and calculate the combinations of common crossover operators. Example calculation has validated that the search performance and optimization capability of genetic algorithm are relevant to crossover operators＇ combination ability, which can be used as the reference index of genetic algorithm in reactive power optimization.

关 键 词：电力系统 无功优化 遗传算法 交叉算子 

分 类 号：TM761.1[电气工程—电力系统及自动化]