DocumentCode
2514992
Title
An improved genetic algorithm for distribution system reconfiguration
Author
Ming, Zhang ; Pengxiang, Bi ; Jian, Liu ; Wenyuan, Zhang
Author_Institution
Electr. Power Coll., Xi´´an, China
Volume
3
fYear
2002
fDate
2002
Firstpage
1734
Abstract
Making use of the features of radial distribution systems, a chromosome coding method and genetic operation strategies were developed. Crossover operations were defined as to exchange the same template while mutation operations and inversion operations are restricted in the template. The above strategies greatly reduce the infeasible solutions produced during genetic operations. Further, a simplifying power distribution method was also proposed to reduce the length of chromosome and reciprocal value of the active power losses as the fitness function. The above measures improve the performance of genetic algorithms for distribution reconfiguration. Several tests were conducted and the results have shown that the proposed algorithm has advantages over other previously developed algorithms.
Keywords
genetic algorithms; losses; power distribution planning; active power losses; chromosome coding method; crossover operations; distribution system reconfiguration; fitness function; genetic operation strategies; improved genetic algorithm; inversion operations; mutation operations; simplifying power distribution method; Biological cells; Bismuth; Convergence; Educational institutions; Genetic algorithms; Genetic mutations; Power distribution; Power engineering and energy; Switches; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
Print_ISBN
0-7803-7459-2
Type
conf
DOI
10.1109/ICPST.2002.1067829
Filename
1067829
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