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《Power System Technology》 2004-10
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REACTIVE POWER OPTIMIZATION OF REGIONAL POWER NETWORK BY DIRECTED MUTATION BASED GENETIC ALGORITHM

GENG Guang-fei, YANG Ren-gang (School of Information & Electric Engineering, China Agriculture University. Beijing 100083, China)  
After the comparison of the merits and demerits between binary and decimal coding, it is pointed out that decimal genetic algorithm (GA) is more suitable to the optimization of such a large scale, multi-variants and mixing integer optimization problem as the reactive power optimization. Here, considering the features of reactive power optimization, following improvements of GA are performed, they are: ①A grouped, integer and real number mixed coding method is applied in GA; ②The mutating method suitable to decimal GA is researched, on the basis of using for reference of the concept of gradient, an evolution direction based directed variant GA is proposed; ③The mapping method is applied in the calculation of fitness function. Comparing with other methods the mapping method is simple and easy to use, no negative can appear in the calculation and a constant elective pressure can be applied to the group; ④Independent mutation is applied to the optimal individual in each generation to improve the search efficiency. This improved GA is used for optimizing the reactive power in Jinchang regional power network in Gansu province, and good results are obtained.
【CateGory Index】: TM761.1
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