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Reactive Power Optimization of Power System Based on Modified Genetic Algorithm

HAN Jing 1,HOU Yi-xiang 2 (1.Maanshan Electric Power Supply Bureau, Maanshan 243000,China; 2. Anhui Electrical Engineering Professional Technique College, Hefei 230022, China)  
The key to the optimization of reactive power operation is to get optimum value or satisfying quasi optimum value. Traditional linear programming technique and non-linear programming technique can not deal with the problem of integer variable successfully, and the simple genetic algorithm (SGA) is not very robust. Allowing for the characteristics of high-medium voltage distribution system, the SGA is modified as follows: using decimal integer coding and ranking selection method, replacing the worst individuals with new ones, and improving the fitness of the best individual of every generation by pattern search. Numerical experiment demonstrates that, the above method is reasonable, feasible, and practical to some extent.
【CateGory Index】: TM714
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【Citations】
Chinese Journal Full-text Database 4 Hits
1 LI Li ying 1, ZHOU Qing jie 1, YANG Shao kun 2 (1.North China Electric Power University, Baoding 071003, China; 2.Baoding Electric Industry Bureau, Baoding 071000, China);Research on VAR Optimization in Power Systems[J];Information On Electric Power;2002-03
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