一种适用于配电网络重构的改进遗传算法  

An Improved Genetic Algorithm Adapted to Distribution Network Reconfiguration

作　　者：苏煜[1] 王薇[1] 

机构地区：[1]西安供电局,陕西西安710032

出　　处：《陕西电力》2006年第8期26-29,共4页Shanxi Electric Power

摘　　要：提出了一种基于“学习范例数组”、“学习算子”和“学习率”的改进遗传算法,可以有效地解决配电网络重构问题。因配电网络辐射状运行条件的限制,常使得简单遗传算法无法求解配电网络重构问题。但使用文中提出的改进方法后,却可以较好解决这一问题。文中采用IEEE14节点配电系统作为算例,将改进遗传算法的优化结果和其它算法的结果进行了对比,相关数据表明了改进遗传算法的正确性和有效性。An improved genetic algorithm based on examples array,study operator and study probability,which can solve network re- configuration effectively,has been presented in this paper.As distribution network must be operated radially,it is hard to solve net- work reconfiguration by simple genetic algorithm.While by the improved genetic algorithm presented in this paper,this problem can be solved preferably.A IEEE-14 distribution network has been taken as a numerical example to make a comparison to the results be- tween the improved genetic algorithm and other methods.Statistical data show that the improved genetic algorithm is correct and effi- cacious.

关 键 词：配电网络 重构 改进遗传算法 学习算子 

分 类 号：TM714[电气工程—电力系统及自动化]