基于遗传算法的配电变压器最优投切方案  

Optimization of Switching Plan for Distribution Transformers Based on Genetic Algorithm

作　　者：王承民[1] 佘楚云[1] 

机构地区：[1]上海交通大学电气工程系,上海市闵行区200240

出　　处：《电网技术》2010年第4期43-45,共3页Power System Technology

基　　金：国家863高技术基金项目(2006AA05Z214)~~

摘　　要：研究了基于遗传算法的变压器投切方案优化算法。根据变电站经济运行区间,得出简化的变压器投切方案表达式;采用遗传算法思想,以变压器投切方案作为遗传操作个体,以投切方案的节电效益作为目标函数,进行遗传操作,从可能的投切方案中找出最优的方案。The authors research the optimization of genetic algorithm based switching plan for distribution transformers. According to the economy operation region of substation, a simplified expression for transformer switching plan is obtained. Based on the thinking of genetic algorithm, the transformer switching plan is taken as the individual of genetic operation and the energy conservation benefit as objective function, then the genetic operation is performed and an optimal switching plan is chosen from possible switching plans.

关 键 词：经济运行区间 投切方案 节电效益 遗传算法 

分 类 号：TM406[电气工程—电器]