%0 Journal Article
%T The Optimization of Distribution Network Reconfiguration Based on Hybrid Genetic Algorithm<br>基于混合遗传算法的配电网络重构优化
%A LIU Yang
%A YANG Jian-jun
%A WEI Li-xin
%A ZHAN Hong
%A <br>刘扬
%A 杨建军
%A 魏立新
%A 战红
%J 系统工程理论与实践
%D 2004
%I 
%X An optimization model of distribution network reconfiguration is established, in which the minimum network loss is taken as objective function, the restrictions to the voltage, current and the capacity of power source are taken as constraint conditions. Through the outer penalty function method, the problem is transformed to nonrestraint optimization problem. Aiming at the limitation of genetic algorithm, the fitness function is adjusted, the optimized reserved strategy is used, the cross and mutation method are improved, and simulated annealing algorithm is combined with, then the hybrid genetic algorithm is formed. It can improve the speed of convergence and avoid premature convergence. Based on the features of distribution network, the hybrid genetic algorithm is used to solve the problem, so the computational efficiency is improved. Reconfiguration results show that the algorithm is efficient and practical.
%K distribution network
%K network reconfiguration
%K adaptive genetic algorithm
%K simulated annealing
%K hybrid genetic algorithm<br>配电网络
%K 网络重构
%K 自适应遗传算法
%K 模拟退火
%K 混合遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=8ED3692C697B85C5&yid=D0E58B75BFD8E51C&vid=B91E8C6D6FE990DB&iid=708DD6B15D2464E8&sid=B62E0EEFE746E568&eid=B344543C2864D684&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=3&reference_num=3