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基于人工鱼群算法的电力系统无功优化
引用本文:唐剑东,熊信银,吴耀武,蒋秀洁.基于人工鱼群算法的电力系统无功优化[J].继电器,2004,32(19):9-12,33.
作者姓名:唐剑东  熊信银  吴耀武  蒋秀洁
作者单位:华中科技大学电力学院,湖北 武汉 430074
摘    要:尝试将人工鱼群算法(AFSA)用于电力系统无功优化,建立了相应的优化模型,对IEEE6、IEEE14节点系统及某地区实际电力系统进行了无功优化计算,并与遗传算法(GA)、改进Tabu搜索算法(MTSA)进行了比较,结果表明AFSA鲁棒性强,全局收敛性好,用于电力系统无功优化计算是有效、可行的。

关 键 词:人工鱼群算法    电力系统    无功优化    随机搜索
文章编号:1003-4897(2004)19-0009-04

Reactive power optimization of power system based on artificial fish-swarm algorithm
TANG Jian-dong,XIONG Xin-yin,WU Yao-wu,JIANG Xiu-jie.Reactive power optimization of power system based on artificial fish-swarm algorithm[J].Relay,2004,32(19):9-12,33.
Authors:TANG Jian-dong  XIONG Xin-yin  WU Yao-wu  JIANG Xiu-jie
Abstract:An artificial fish-swarm algorithm(AFSA) for reactive power optimization of power system and a model based on AFSA are presented for the first time in this paper. Compared with the genetic algorithm(GA) and the modified Tabu search algorithm (MTSA), the reactive power optimization result of IEEE 6, IEEE 14 node system and a real region power system by AFSA shows that AFSA has a strong robustness and good global astringency. It also shows that AFSA is a successful and feasible approach for reactive power optimization.
Keywords:artificial fish-swarm algorithm  power system  reactive power optimization  random search
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