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《Proceedings of Electric Power System and Automation》 2005-01
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Application of Improved Genetic Algorithm in Reactive Power Optimization

FAN Hong, WEI Hua (School of Electrical Engineering,Guangxi University, Nanning 530 004, China)  
The paper presents a new idea to resolve reactive power optimization problem bas ed on float-coded genetic algorithm,the method overcomes binary-coded genetic algorithm's disadvantages,effectively adopts float-coded manner to make the opt imization work simple and quick and improves the algorithm's speed and precision .The method has been used in IEEE 30-bus test system and has gained good result s.
【Key Words】: float-coded genetic algorithm reactive power o ptimization
【CateGory Index】: TM712
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