DocumentCode
2321843
Title
Genetic algorithm for optimal distribution system planning
Author
Lin, W.M. ; Su, Y.-S. ; Tsay, M.T.
Author_Institution
Inst. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
Volume
1
fYear
1998
fDate
18-21 Aug 1998
Firstpage
241
Abstract
This paper is concerned with application of the genetic algorithm (GA) to the optimal distribution system planning (DSP). GA was used to solve the optimization of DSP problem which includes the discrete nature of substation installation and feeder routing. Several search procedures including coding and encoding the chromosome, fitness evaluated, reproduction, crossover, and mutation are examined in detail. A simple example has been implemented with the proposed method. All results show that GA can obtain a better solution
Keywords
genetic algorithms; power distribution planning; chromosome coding; chromosome encoding; crossover; feeder routing; fitness evaluated; genetic algorithm; mutation; optimal distribution system planning; reproduction; substation installation; Biological cells; Capacity planning; Cost function; Digital signal processing; Encoding; Genetic algorithms; Genetic mutations; Meeting planning; Routing; Substations;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4754-4
Type
conf
DOI
10.1109/ICPST.1998.728962
Filename
728962
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