Skip to main content
Article
"VAR Planning in Distribution Systems via Genetic Operators"
IEEE Power Engineering Society General Meeting (2006)
  • Fabricio I. Salgado
  • Enrique A. López
  • Hugh Rudnick, Pontificia Universidad Católica de Chile
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
  • VAR planning,
  • Genetic Algorithms,
  • Hamming Distance,
  • Allelic alphabet,
  • Mutation radius.
Publication Date
June, 2006
Citation Information
Fabricio I. Salgado, Enrique A. López and Hugh Rudnick. ""VAR Planning in Distribution Systems via Genetic Operators"" IEEE Power Engineering Society General Meeting (2006)
Available at: http://works.bepress.com/fabricio_salgado/9/