改进自适应遗传算法用于电力系统无功优化  

Reactive Power Optimization of Power System Using Improved Adaptive Genetic Algorithm

作　　者：康积涛[1] 苏琳[2] 杨武[1] 

机构地区：[1]西南交通大学电气工程学院,610031 [2]四川省水利水电勘测设计研究院,610072

出　　处：《电气应用》2006年第10期41-44,共4页Electrotechnical Application

基　　金：西南交通大学科学研究基金项目(编号2004A07)

摘　　要：为了克服自适应遗传算法早熟现象和改善收敛速度,在自适应遗传算法中引入二次变异操作。考虑到遗传操作后存在大量相同个体,捡出这些重复的个体进行二次变异,产生邻近的个体,这种方法不仅避免了重复计算而且增强了算法局部搜索能力,并且改善了算法的收敛性。通过对IEEE30节点系统进行计算测试,验证了该算法的合理性和可行性。In order to avoid the premature convergence and improve convergence rate, the second mutation is introduced into the adaptive genetic algorithm. After the selection, crossover and mutation, there are many same individual. Picking up and second muting these same individual produce adjacent individual. This method not only avoids the repeat calculation but also enhances local search ability. As a result, it improves the convergence performance of adaptive genetic algorithm. The method has been applied to IEEE 30 bus system. The test shows that this method is feasible and practical.

关 键 词：无功优化 遗传算法 自适应 变异 全局优化 电力系统 

分 类 号：TM714[电气工程—电力系统及自动化] TM744