• DocumentCode
    1925055
  • Title

    Contour optimization of suspension insulators using real coded genetic algorithm with simulated binary crossover

  • Author

    Gunasekaran, S. ; Iruthayarajan, M.W.

  • Author_Institution
    Dept. of EEE, P.S.R. Rengasamy Coll. of Eng. for Women, Sivakasi, India
  • fYear
    2013
  • fDate
    21-22 Feb. 2013
  • Firstpage
    360
  • Lastpage
    364
  • Abstract
    Electrical-field distribution along the insulator surface strongly depends upon the contour design, besides the effect of pollution. The insulator contour should be designed to reach a desired uniform and minimal tangential field to increase the onset voltage of surface flashover. In this paper, with the finite element method (FEM) integrated, the real coded genetic algorithm (RGA) with simulated binary crossover (SBX) approach is proposed for contour optimization of a suspension insulator. The aim of the contour optimization is to minimize the Tangential electric field and make the tangential electric field as uniform, subject to design constraints. The results show that a rather uniform and minimal tangential field distribution can be obtained through the proposed approach.
  • Keywords
    finite element analysis; flashover; genetic algorithms; insulators; FEM; RGA; SBX; contour design; contour optimization; design constraints; electrical-field distribution; finite element method; insulator contour; insulator surface; onset voltage; pollution; real coded genetic algorithm; simulated binary crossover; surface flashover; suspension insulator; suspension insulators; tangential electric field; tangential field; Electric fields; Electric potential; Finite element analysis; Genetic algorithms; Insulators; Optimization; Suspensions; Finite Element method (MATLAB PDETOOL); Optimized contour design; Real Coded Genetic algorithm with SBX; Suspension insulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on
  • Conference_Location
    Salem
  • Print_ISBN
    978-1-4673-5843-9
  • Type

    conf

  • DOI
    10.1109/ICPRIME.2013.6496501
  • Filename
    6496501