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《Journal of Electric Power》 2007-04
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Reactive Power Optimization Based on Particle Swarm Optimization Algorithm with Tabu search

HUANG Wei,LIN Zhi-ming,LI Bo (Institute of Electrical and Electronic Engineering East China Jiaotong University,Nanchang 330013,China)  
Weaker local search and premature convergence are two key problems existing in the particle swam optimization algorithm(PSO).To overcome the shortcomings,a hybrid algorithm of particle swam optimization algorithm(PSO)and tabu search algorithm(TS)is used to get the solution of reactive power optimization.It adopts a main framework which is particle swam optimization algorithm,and individuals seeks optimization in the neighboring regions with tabu search and updates the result of seeking optimization for particle swam optimization algorithm.It not only retains parallel processing of PSO algorithm,but also adopts local hill-climbing of TS algorithm,thus quickening convergent time and improving effectively optimum solution.
【CateGory Index】: TP301.6
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