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《Power System Technology》 2004-19
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A SURVEY ON APPLICATION OF PARTICLE SWARM OPTIMIZATION TO ELECTRIC POWER SYSTEMS

YUAN Xiao-hui1,WANG Cheng1,ZHANG Yong-chuan1,YUAN Yan-bin2 (1.Huazhong University of Science and Technology,Wuhan 430074,Hubei Province,China; 2.Wuhan University of Technology,Wuhan 430071,Hubei Province,China)  
Particle swarm optimization (PSO) based on swarm intelligence is a new evolutionary computational tool and is successfully applied in function optimization, neural network design, classification, pattern recognition, signal processing and robot technology and so on, but the reports on its practical applications in power system are seldom seen. Here, the main research results of applying PSO in following aspects relevant to power system, such as distribution system expansion planning, generator maintenance scheduling, unit commitment, load economic dispatch, optimal power flow calculation and optimal control of reactive power, harmonic analysis and capacitor configuration, distribution state estimation, parameter identification and optimal design, are overall presented in detail. Along with the thorough study of PSO, its great latent capacity will be brought into play in the electricity market auction, bidding strategy and electricity market simulation.
【Fund】: 国家自然科学基金资助项目(50309013);; 中国博士后科学基金资助项目(2003033464)。~~
【CateGory Index】: TM715
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