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

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, wit...

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Vydáno v:2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering (PRIME) s. 360 - 364
Hlavní autoři: Gunasekaran, S., Iruthayarajan, M. W.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.02.2013
Témata:
Electric fields
Electric potential
Finite element analysis
Finite Element method (MATLAB PDETOOL)
Genetic algorithms
Insulators
Optimization
Optimized contour design
Real Coded Genetic algorithm with SBX
Suspension insulator
Suspensions
ISBN:1467358436, 9781467358439
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Shrnutí: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.
ISBN:1467358436
9781467358439
DOI:10.1109/ICPRIME.2013.6496501