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
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