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基于强度Pareto进化算法的最优潮流
引用本文:刘耀年,于晶,禹冰,王颖,张伟民.基于强度Pareto进化算法的最优潮流[J].电测与仪表,2011,48(9):53-56,72.
作者姓名:刘耀年  于晶  禹冰  王颖  张伟民
作者单位:1. 东北电力大学电气工程学院,吉林吉林,132012
2. 河南省电力公司洛阳供电公司,河南洛阳,470123
3. 云南电网公司电力教育中心,昆明,650204
摘    要:为更好地解决电力系统最优潮流问题,分析了当前多目标优化算法存在的缺陷,将强度Pareto进化算法(SPEA)应用于最优潮流中.SPEA是一种新型的多目标进化算法,具有收敛速度快,参数设置少,全局搜索能力强,所求的Pareto最优解分布均匀等优点.通过对IEEE30节点测试系统运用SPEA和混沌粒子群方法(CpSO)的计...

关 键 词:电力系统  最优潮流  强度Pareto进化算法  Pareto最优解

Optimal Power Flow Based on Strength Pareto Evolutionary Algorithm
LIU Yao-nian,YU Jing,YU Bing,WANG Ying,ZHANG Wei-min.Optimal Power Flow Based on Strength Pareto Evolutionary Algorithm[J].Electrical Measurement & Instrumentation,2011,48(9):53-56,72.
Authors:LIU Yao-nian  YU Jing  YU Bing  WANG Ying  ZHANG Wei-min
Affiliation:1.Electrical Engineering College,Northeast Dianli University,Jilin 132012,Jilin,China. 2.Luoyang Power Supply Company,Luoyang 470123,Henan,China. 3.Power Education Center of Yunnan Power Grid Corporation,Kunming 650204,China)
Abstract:In order to solve the Optimal Power Flow(OPF) in power system better,the drawback of multi-objective optimization algorithm is analyzed in this paper,and Strength Pareto Evolutionary Algorithm(SPEA) is applied to OPF.SPEA is a new type of multi-objective evolutionary algorithm,which has some advantages such as fast convergence rate,less parameters settings,strong ability of global searching and distribution uniformity of Pareto optimal solutions solved.Through the comparison of calculated results by using SPEA and Chaotic Particle Swarm Optimization(CPSO) in IEEE30 node test system,it explains the use of SPEA in OPF has good effects and provides effective tools for tradeoff analysis of each target function.Thus the validity and efficiency of proposed algorithm are confirmed.SPEA provides a new thought for multi-objective Optimal Power Flow.
Keywords:power system  optimal power flow  strength pareto evolutionary algorithm  pareto-optimal solutions
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