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《Proceedings of The Csu-epsa》 2003-04
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AN IMPROVED GENETIC ALGORITHM FOR REACTIVE POWER OPTIMIZATION

Fang Gefei,Wang Huixiang,Huang Xiaoshuo (Zhejiang University, Hangzhou 310027, China)  
This paper presents an approach to optimal reactive power based on an improved genetic algorithm.This algorithm improves the method of coding,operators and termination conditions.The proposed method was applied to the IEEE 14 buses power systems.The calculation shows that this approach can find optimal solution more efficiently.
【CateGory Index】: TP18;TM7
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