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基于融合遗传原理的蚁群算法在配电网故障恢复中的应用
引用本文:祝洪博,姜瀚书,张富刚.基于融合遗传原理的蚁群算法在配电网故障恢复中的应用[J].东北电力学院学报,2010,30(2).
作者姓名:祝洪博  姜瀚书  张富刚
作者单位:东北电力大学,电气工程学院,吉林,吉林,132012;洛阳供电公司,河南,洛阳,471009
摘    要:本文对配电网的故障恢复问题进行了研究,提出了结合实际的配电网故障恢复目标函数,在分析了遗传算法和蚁群算法的基础上,结合遗传算法和蚁群算法的各自优点,提出了一种将遗传算法融入到蚁群算法的新策略,利用遗传算法的交叉操作产生蚁群算法的新的旅行路径,以此提高蚁群算法的全局搜索能力,构造了基于遗传算法的混合蚁群算法。实例分析表明,该算法具有较快的收敛速度和较强的全局搜索能力,避免了不成熟收敛,有效地提高了故障恢复的速度和精度。

关 键 词:配电网  故障恢复  遗传算法  蚁群算法

Based on the integration of the genetic principle of ant colony algorithm for distribution network restoration applications
ZHU Hong-bo,jIANG Han-shu,ZHANG Fu-gang.Based on the integration of the genetic principle of ant colony algorithm for distribution network restoration applications[J].Journal of Northeast China Institute of Electric Power Engineering,2010,30(2).
Authors:ZHU Hong-bo  jIANG Han-shu  ZHANG Fu-gang
Affiliation:ZHU Hong-bo~1,jIANG Han-shu~1,ZHANG Fu-gang~2 (1.School of Electrical Engineering,Northeast Dianli University,jilin 132012,jilin Province,China,2.Luoyang power supply company,Luoyang 471009,Henan Province,China)
Abstract:The distribution network fault recovery described,made light of the actual distribution network recovery objective function,the analysis of genetic algorithms and ant colony algorithm based on the combination of genetic algorithms and ant colony count of the respective merits of proposed A genetic algorithm into the new strategy of ant colony algorithm using the genetic algorithm has stronger global search ability,The use of genetic algorithms crossover produces a new ant colony algorithm for traveling the ...
Keywords:distribution network  power recovery  genetic algorithm  ant colony algorithm  
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