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《Electric Power Science and Engineering》 2005-01
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Reactive Power Optimization of Regional Network Based on Improved Genetic Algorithms

ZHANG Zheng-kai~1, SHENG Si-qing~1,TIAN Wen-shu~2(1.North China Electric Power University , Baoding 071003 , China;2.Wuji Electric Power Bureau,Wuji 052460,China)  
The optimization and compensation of reactive power is significant for the safe and economic operation of power network, through which the network loses can be reduced, the voltage quality improved and the power system stability maintained. An improved method of encoding, propagation and adaptive degree function of genetic algorithms is proposed. The result from the calculation example shows that the improved genetic algorithms can not only converge in the global optimal solution but also improve voltage quality as well as reduce network loses.
【CateGory Index】: TM714
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