DocumentCode
2680094
Title
VAR planning in distribution systems via genetic operators
Author
Salgado, F. ; López, E. ; Rudnick, H.
Author_Institution
Dept. of Electr. Eng., Univ. de Concepcion
fYear
0
fDate
0-0 0
Abstract
A new solution for VAR planning in distribution systems is proposed. It is based on genetic algorithms (GAs). Allelic alphabet and Hamming distance concepts are efficiently exploited under real coding. The model´s robustness is demonstrated through a 69-node system. The effect of the genetic operators is quantified (mutation probability and mutation radius, crossover probability) regarding the convergence of the solution. The procedure allows obtaining a realistic solution for the VAR planning problem
Keywords
genetic algorithms; power distribution planning; probability; 69-node system; Allelic alphabet; Hamming distance concepts; crossover probability; distribution systems; genetic algorithms; genetic operators; mutation probability; mutation radius; Capacitors; Cost function; Fuzzy logic; Genetic algorithms; Genetic mutations; Hamming distance; Investments; Logic programming; Power system planning; Reactive power; Allelic alphabet; Genetic Algorithms; Hamming Distance; Mutation radius; VAR planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location
Montreal, Que.
Print_ISBN
1-4244-0493-2
Type
conf
DOI
10.1109/PES.2006.1709347
Filename
1709347
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