现代电子技术2016，Vol.39Issue(19)：165-168,4.DOI:10.16652/j.issn.1004-373x.2016.19.040
遗传-蚁群算法的配电网状态估计
Estimation of power distribution network state based on genetic algorithm and ant colony algorithm
摘要
Abstract
Since the single genetic algorithm or ant colony algorithm can′t obtain the desired estimation results of power dis⁃tribution network state,an estimation method of power distribution network state based on genetic algorithm and ant colony algo⁃rithm is proposed according to the principle of complementary advantages. The current estimation situation of the power distribu⁃tion network state is analyzed. The mathematical model of power grid state is constructed,and solved by means of the genetic al⁃gorithm with good global optimization ability. And then the ant colony algorithm with good local optimization ability is used to search the solution of genetic algorithm finely,so as to obtain the optimal estimation value of the power distributed state. The ex⁃perimental results show that the proposed algorithm uses the advantages of genetic algorithm and ant colony algorithm fully, avoids the shortcomings of the two algorithm effectively,and obtains better state estimation result of power distribution network.关键词
配电网/状态估计/遗传算法/蚁群算法Key words
power distribution network/state estimation/genetic algorithm/ant colony algorithm分类
信息技术与安全科学引用本文复制引用
张纯,王立斌..遗传-蚁群算法的配电网状态估计[J].现代电子技术,2016,39(19):165-168,4.基金项目
2015年度广东远程开放教育科研基金项目 （）
