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《Power System Technology》 2007-23
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A Mathematical Morphology and Genetic Algorithm Based Dynamic Reactive Power Optimization Method for Distribution Network

JIANG Zhen-chao,YANG Hong-geng(School of Electrical Engineering & Information,Sichuan University,Chengdu 610065,Sichuan Province,China)  
A mathematical morphology and genetic algorithm based dynamic reactive power optimization method for distribution network is proposed.By means of constructing mathematical morphology filter,the binary image composed by allelic genes of chromosome is filtered and the problem that deals with the action times of voltage regulating devices for compensation is turned into filtering problem of discrete binary image.To quicken the calculation speed of genetic algorithm,the chiasma operation and mutation operation are improved;based on the thinking of inheritable character,the destruction of fine gene combination during chiasma operation is prevented;drawing lessons from the thinking of modifying individual speed and position in the light of individual extremum and global extremum in particle swarm optimization(PSO) algorithm,an evolutional mutation method based on gene character is put forward.Taking the reactive power optimization of a regional distribution network for example,the reactive power optimization is carried out by improved genetic algorithm,simple genetic algorithm and the proposed dynamic reactive power optimization respectively,optimization results show that the proposed dynamic reactive power optimization method is efficient and correct.
【CateGory Index】: TP18;TM714
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