DocumentCode :
2611560
Title :
The improved clonal genetic algorithm & its application in reconfiguration of distribution networks
Author :
Wang, Ji ; Luo, An ; Qi, Mingjun ; Li, Maojun
Author_Institution :
Inf. Sci. & Eng. Coll., Nat. Central South Univ., Chang Sha City, Taiwan
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
1423
Abstract :
In this paper, a kind of genetic algorithm aiming to power system, i.e. predigestion of distribution networks, chromosome encoding strategy & improved clonal genetic algorithm, is proposed, based on the main genetic operator of clonal genetic algorithm & its nature. It can be used, to reduce the unsolvable code of the distribution system reconfiguration, to enhance the rate of the solvable code and to accelerate the calculating process, by the kind of genetic algorithm. The results of a example distribution system solved by the algorithm indicate the feasibility and validity of applications in distribution system reconfiguration.
Keywords :
distribution networks; genetic algorithms; chromosome encoding; clonal genetic algorithm; distribution networks; Acceleration; Biological cells; Biological system modeling; Computational modeling; Convergence; Electronics packaging; Encoding; Genetic algorithms; Intelligent networks; Power systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition, 2004. IEEE PES
Print_ISBN :
0-7803-8718-X
Type :
conf
DOI :
10.1109/PSCE.2004.1397431
Filename :
1397431
Link To Document :
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