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模糊自适应遗传算法在配电网络重构中的应用
引用本文:张忠城,王淳.模糊自适应遗传算法在配电网络重构中的应用[J].江西电力,2006,30(2):6-8.
作者姓名:张忠城  王淳
作者单位:南昌大学信息工程学院,江西,南昌,330029
摘    要:以网损最小为目标函数,节点电压、网络辐射性和电源容量的限制为约束条件,建立了配电网络重构的优化数学模型。针对遗传算法的局限性,提出了一种新的模糊自适应遗传算法,缩短了染色体编码长度、设计了与进化代数、适应度、及个体排序相关的自适应交叉率与变异率,从而使得该算法能够有效地提高收敛速度,避免早熟收敛。重构算例说明该优化方法有效、实用。

关 键 词:模糊控制  自适应遗传算法  网络重构  配电网络
文章编号:1006-348X(2006)02-06-03
收稿时间:2005-12-26
修稿时间:2005年12月26

Application of Fuzzy Adaptive Genetic Algorithm on Distribution Network Reconfiguration
Zhang Zhong-cheng,Wang Chun.Application of Fuzzy Adaptive Genetic Algorithm on Distribution Network Reconfiguration[J].Jiangxi Electric Power,2006,30(2):6-8.
Authors:Zhang Zhong-cheng  Wang Chun
Abstract:The minimum network loss are regarded as objective function,The restrictions to node voltage,radiation of the network and the capacity of power are taken as constraint condition.Network reconfiguration optimization mathematics model have been set up.Aimed at the limitation of genetic algorithm,a new fuzzy adaptive genetic algorithm has been proposed,which can shorten the length of chromosome,design the Pc and Pm depending on evolution generation,fitness value,the ranking of population,it can overcome the premature convergence effectively and improve the speed of convergence.The result prove that it is effective and practical.
Keywords:fuzzy controll  adaptive genetic algorithm  network reconfiguration  distribution network
本文献已被 CNKI 维普 万方数据 等数据库收录!
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