• DocumentCode
    1545684
  • Title

    Transmission network expansion planning under an improved genetic algorithm [discussion and closure]

  • Author

    Rudnick, Hugh ; Palma, Rodrigo ; da Silva, E.L. ; Gil, Hugo A. ; Areiza, J.M.

  • Author_Institution
    Dept. of Electr. Eng., Pontificia Univ. Catolica de Chile, Santiago
  • Volume
    16
  • Issue
    4
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    930
  • Lastpage
    931
  • Abstract
    The authors congratulate the authors of the original paper (see ibid., Vol.18, no.3, p.1168-75, 2000) for their excellent contribution in the field of transmission expansion planning. The successful application of an improved GA (IGA) for the solution of the static transmission network expansion-planning problem is presented. In their opinion, the main contributions of this paper are the proposed and proved ideas for the IGA, related to: representation; initial population construction; crossover; and mutation mechanism. They explored these topics in the context of the dynamic transmission network expansion planning. They confirmed the importance of adequate representation of individuals that avoid invalid solutions, of an initial population based on sensitivity analysis of an initial expansion plan, and a crossover based on a decimal representation. The response of the original authors to this discussion is also included
  • Keywords
    genetic algorithms; power transmission planning; sensitivity analysis; crossover; decimal representation; improved genetic algorithm; initial population construction; mutation mechanism; representation; sensitivity analysis; static transmission network expansion planning problem; transmission network expansion planning; Gas insulated transmission lines; Genetic algorithms; Genetic mutations; Power generation economics; Power system analysis computing; Power system economics; Power system modeling; Power system planning; Power system simulation; Sensitivity analysis;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.962451
  • Filename
    962451