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Ni Wei,Shan Yuanda Southeast University,Nanjing2 1 0 0 96,China  
In order to decrease the searching time of genetic algorithm GA ,the concept of optimizing the searching path is introduced. The hierarchical reactive power optimal control and the evolutionary sensitivity analysis methods are proposed to radically overcome the randomness of the searching and improve the mutation,crossover operations of conventional genetic algorithms.Moreover,based on the objective function of conventional reactive power optimization,the objective function including accommodative price is proposed.The computation results indicate this refined GA can increase the searching speed remarkably,and it is more practical.
【CateGory Index】: TM761
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