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
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