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《Electric Power Automation Equipment》 2003-09
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Reactive power optimization using float point encoding genetic algorithm

BI Peng-xiang 1 ,MIAO Zhu-mei 2 ,LIU Jian 1 (1.Northwest Power Staff University,Xi 'an710054,China;2.Shaanxi Provincial Power Company,Xi 'an710004,China;3.Shaanxi Galaxy Electric Power Automation Co.,Ltd.,Xi 'an710075,China)  
A float point encoding genetic algorithm for reactive power optimization is presented.The crossover,mutation and inversion operations with float point encoding are proposed,which not only reduces the length of chromosome and search space,but also avoids the infeasible solutions produced during initialization and gene operations.The performance of genetic algorithms is thus improved.The proposed genetic algorithm for reactive power optimization has been tested in an IEEE30-bus power system and the satisfactory results are obtained.
【CateGory Index】: TM761.1
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