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
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;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1709347
