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《Journal of Yanshan University》 2008-03
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Overview of particle swarm optimization algorithm on reactive optimization for power system

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)  
Particle swarm optimization(PSO)algorithm is a heuristic global optimization technology based on swarm intelligence. Firstly,the principle and process of particle swarm optimization(PSO)algorithm are introduced by this paper.Some kind of improved versions ofPSO and research situation are also presented.Secondly,the characteristic ofthe reactive power optimization in power system and the application of PSO on reactive optimization are given.Finally,the applied prospect of PSO on reactive optimization is pointed out since the reactive power optimization in power system is a typical combination optimization problem with multi-objective,multi-constrained and non-linear.
【Fund】: 河北省自然科学基金数学研究专项资助项目(07M007)
【CateGory Index】: TM714.3
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