首页 | 本学科首页   官方微博 | 高级检索  
     

基于遗传算法的无功规划优化
引用本文:张粒子,舒隽,林宪枢,徐英辉.基于遗传算法的无功规划优化[J].中国电机工程学报,2000,20(6):5-8.
作者姓名:张粒子  舒隽  林宪枢  徐英辉
作者单位:华北电力大学,北京,102206
基金项目:国家自然科学基金资助项目!(5 9770 13 )
摘    要:提出了一种应用于电力系统无功规划优化问题的改进遗传算法。该算法对传统遗传算法的编码方式、群体规模以及遗传3算法等方面进行了

关 键 词:电力系统  无功规划优化  潮流计算  遗传算法
修稿时间:1999-03-16

REACTIVE POWER PLANNING BASED ON GENETIC ALGORITHM
ZHANG Li-zi,SHU Jun,LIN Xian-shu,XU Ying-hui.REACTIVE POWER PLANNING BASED ON GENETIC ALGORITHM[J].Proceedings of the CSEE,2000,20(6):5-8.
Authors:ZHANG Li-zi  SHU Jun  LIN Xian-shu  XU Ying-hui
Abstract:In this paper, a modified Genetic Algorithm(GA)is applied to optimization of reactive power planning of power system. This algorithm improves the method of coding, size of population and operators; uses expert knowledge to aid searching feasible solution; and presents self-adaptive adjusting of penalty factor. The proposed algorithm is applied to the IEEE 30-bus system and a practical system. The numerical results show the advantages of this approach over conventiona GA.
Keywords:power system  optimization of reactive power planning  power flow  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号