改进遗传算法在干式电力变压器优化设计中的应用 

韩能霞 
甘肃电力变压器厂，甘肃 兰州 730046 
 

摘 要：介绍了遗传算法的基本原理及算法步骤，对其编码与解码方案、约束条件的处理、搜索速度、全局寻优等进行了改造，使新群体的整体素质更好，加快了寻优过程。采用改进的遗传算法对干式变压器的电磁计算设计进行了优化，并应用于SGB-800/10 干式电力变压器的单目标和双目标的优化设计。通过实例参数对比分析，表明该算法切实可行，优化效果较好。
关键词：干式变压器；改进的遗传算法；优化设计
中图分类号：TM412 文献标识码：B 文章编号：1007-3175(2014)06-0040-03

Application of Improved Genetic Algorithm in Optimization Design of Dry Type Power Transformer 

HAN Neng-xia 
Gansu Power Transformer Factory, Lanzhou 730046, China 
 

Abstract: Introduction was made to the basic principle and algorithm steps of genetic algorithm. This paper rebuilt its coding and decoding plans, restricting conditions’ treatment, searching speed and global optimization etc., so as to enable new mass body’s quality better and to quicken the optimization process. The improved genetic algorithm was adopted to carry out optimization for electromagnetic calculation design of dry type power transformer, applied in the single goal and dual goal optimization design for SGB-800/10 dry type power transformer. The actual example parameters comparison and analysis show that the algorithm is actually feasible with better optimization effect.
       Key words: dry type transformer; improved genetic algorithm; optimization design

参考文献
[1] 金明. 基于改进鲍威尔法的电力变压器优化设计[J]. 变压器，1999，36(10)：12-14．
[2] 张可村，李换琴.工程优化方法及其应用[M].西安：西安交通大学出版社，2007.