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《AUTOMATION OF ELECTRIC POWER SYSTEMS》 2000-02
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GENETIC ALGORITHM BASED REACTIVE POWER OPTIMIZATIONAND ITS APPLICATION IN EZHOU CITY POWER SYSTEM

Win Jinyu', Jiang Zhenhua', Jiang Xial, Cheng Shine', Yang Wen-clang', Huang Jinming'(l. Huazhong University of Science and Technology, Wuhan 430074, China)(2. Ezhou Electrical Power Bureau, Ezhou 436000, China)  
After briefly analyzing the defects of the traditional reactive power optimization methods for power system. thispaper points out the necessity and feasibility of introducing genetic algorithm (GA) to reactive power optimization. Andreactive power optimization based on GA is used for reactive power optimization sub-system in Ezhou City Power System.Three main problems in practical implementation have been solved, that is how to encode the discrete parameters. how toselect objective function and its coefficients. The practical operation in Ezhou City Power System demonstrates that theproposed method can effectively decrease network loss, and improve social and economic performance.
【CateGory Index】: TM76
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