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《POWER SYSTEM TECHNOLOGY》 1997-12
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A REFINED GENETIC ALGORITHM FOR REACTIVE POWER OPTIMIZATION

Zhou Shuangxi; Cai Hu(Tsinghua UniversityBeijing, 100084 China)  
A Genetic Algorihm (GA ) is an optimlzallonmethod which has been developed in the past several yearsbased on the concept of natural selection. A Refined GerleticAlgorithm (RGA ) with an improvement upon the genecticoperations is presented in this Paper .and is applied in reactivepower optimization. The simulation results show that theRGA method can find optimal solution more efficiently.
【Key Words】: Reactive power optimization Refined Genetic Algorithm (RGA) Genetic operation
【CateGory Index】: TM71
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【References】
Chinese Journal Full-text Database 10 Hits
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【Co-citations】
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1 ;Reactive power optimization of radical distribution system on improved genetic algorithm[J];Anhui Electric Power;2006-04
2 WANG Xiao-an,LI Cheng-jun (College of Hydroelectricity & Digitalization Eng, Huazhong University of Science and Technology, Wuhan 430074,China);Research and application of genetic algorithm to cascade hyroelectric stations' short-term optimization scheduling[J];Journal of Yangtze River Scientific Research Institute;2003-02
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7 LIU Qing-Song(Electrical Engineering Jiaxing University,Jiaxing 314001,China);Reactive Power Optimization of Radical Distribution System on Improved Genetic Algorithm[J];Journal of Electric Power;2005-01
8 LIU Chang-jun(Southwest Jiaotong University,Chengdu 610031,China);Improvements of Genetic Algorithm in Power System Optimized Reactive Power Control[J];Electric Power Construction;2006-12
9 LI Li ying 1, ZHOU Qing jie 1, YANG Shao kun 2 (1.North China Electric Power University, Baoding 071003, China; 2.Baoding Electric Industry Bureau, Baoding 071000, China);Research on VAR Optimization in Power Systems[J];Information On Electric Power;2002-03
10 Sheng Siqing, Yuan Shuping (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China);Power System Reactive Power Programming Based on Partical Swarm Algorithm[J];Electric Power Science and Engineering;2009-06
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 QI Hui,ZHOU Shumin,XIONG Ying(School of Sciences,Wuhan University of Technology, Wuhan 430070,China);A Particle Swarm Optimization with Step-accelerating Mutation Operator[J];Journal of Chengdu University(Natural Science Edition);2006-04
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【Secondary References】
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3 LI Xin-bin~(1,2) ZHU Qing-jun~1 MA Hong-xia~1 LI Qiang-bo~1 (1.College of Electrical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China;2.Hebei Mathematical Research Center,Shijiazhuang,Hebei 050000,China);Overview of particle swarm optimization algorithm on reactive optimization for power system[J];Journal of Yanshan University;2008-03
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6 Li Yulong Zong Wei Lü Xianyan He Qiuyu Yuan Qihong Wang Qian (North China Electric Power University Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education Beijing 102206 China);An Immune Genetic Algorithm Based on Regulating New Definition of Antibody Density for Power System Reactive Power Optimization[J];Transactions of China Electrotechnical Society;2008-02
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