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《Journal of Electric Power》 2005-01
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Reactive Power Optimization of Radical Distribution System on Improved Genetic Algorithm

LIU Qing-Song(Electrical Engineering Jiaxing University,Jiaxing 314001,China)  
This paper presents the comprehensive objective function considering network energy loss,node voltage level and investment of reactive compensation equipment. Penalty function is considered to deal with variables violating the constraints. Its principal means is to regulate transformer rate and to parallel with capacitors. This paper implements reactive power optimization calculation based on above mathematical model by Genetic Algorithm,To overcome the poorly computational efficiency of Genetic Algorithm,we also makes an improvement of it to enhances its convergence speed and search efficiency. The real tests prove the practicability and validity of this paper method.
【CateGory Index】: TM714.3
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