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《Electric Power Automation Equipment》 2010-04
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Reactive power optimization based on induction-enhanced particle swarm optimization and chaos search

LIU Lijun1,LI Jie2,CAI Jinding1(1.College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China;2.Fuzhou Electric Power Bureau,Fuzhou 350001,China)  
An algorithm based on induction-enhanced particle swarm optimization and chaos search is proposed for reactive power optimization to solve the problems of traditional PSO(Particle Swarm Optimization),such as local optimum and slow convergence,and improve the ability of global optimization.During the early search,the induction is introduced to the update of particle position to decrease the randomicity of PSO and improve the search efficiency,while during the late search,the strange attractor character of chaos is applied to effectively avoid the premature of PSO and find the global optimal solution.Calculations for a power distribution system show that,the optimal loss-lowering rate is 14.04 %,and the minimum voltage is increased from 0.895 0 p.u.to 0.995 6 p.u.,validating the feasibility and effectiveness of the proposed algorithm.
【CateGory Index】: TM714.3
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