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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| creator | Gunasekaran, S. Iruthayarajan, M. W. |
| description | 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. |
| doi_str_mv | 10.1109/ICPRIME.2013.6496501 |
| format | Conference Proceeding |
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W.</creator><creatorcontrib>Gunasekaran, S. ; Iruthayarajan, M. W.</creatorcontrib><description>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.</description><identifier>ISBN: 1467358436</identifier><identifier>ISBN: 9781467358439</identifier><identifier>EISBN: 1467358452</identifier><identifier>EISBN: 9781467358446</identifier><identifier>EISBN: 1467358444</identifier><identifier>EISBN: 9781467358453</identifier><identifier>DOI: 10.1109/ICPRIME.2013.6496501</identifier><language>eng</language><publisher>IEEE</publisher><subject>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</subject><ispartof>2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, 2013, p.360-364</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6496501$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27904,54897</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6496501$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gunasekaran, S.</creatorcontrib><creatorcontrib>Iruthayarajan, M. 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The results show that a rather uniform and minimal tangential field distribution can be obtained through the proposed approach.</description><subject>Electric fields</subject><subject>Electric potential</subject><subject>Finite element analysis</subject><subject>Finite Element method (MATLAB PDETOOL)</subject><subject>Genetic algorithms</subject><subject>Insulators</subject><subject>Optimization</subject><subject>Optimized contour design</subject><subject>Real Coded Genetic algorithm with SBX</subject><subject>Suspension insulator</subject><subject>Suspensions</subject><isbn>1467358436</isbn><isbn>9781467358439</isbn><isbn>1467358452</isbn><isbn>9781467358446</isbn><isbn>1467358444</isbn><isbn>9781467358453</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkN1KxDAQhSMiqOs-gV7kBVonTdOfSymrW1hRRK-XNJ3WSJuUJFX06e3igjdnOHC-YeYQcsMgZgzK27p6fqkfN3ECjMdZWmYC2Am5ZGmWc1GkIjn9Nzw7J2vvPwBgYbNC8AsyVdYEOztqp6BH_SODtobajvrZT2j8wWnj50EG6zydvTY9dSgHqmyLLe3RYNCKyqG3Tof3kX4tSr0eD8gSaLSR7psqZ723n-iuyFknB4_r41yRt_vNa7WNdk8PdXW3izTLRYgKpXjeYVcqkKB4qUTCIFGtSBSghC4RnC1vYKGajmOBkDPBM9aUDcqC5chX5Ppvr0bE_eT0uJyxPzbEfwG7p16L</recordid><startdate>201302</startdate><enddate>201302</enddate><creator>Gunasekaran, S.</creator><creator>Iruthayarajan, M. W.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201302</creationdate><title>Contour optimization of suspension insulators using real coded genetic algorithm with simulated binary crossover</title><author>Gunasekaran, S. ; Iruthayarajan, M. W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-8cc37fef9c0a0c39c52102cd52c0ea0f2531001e8cbf3e8e0715361b9bea817e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Electric fields</topic><topic>Electric potential</topic><topic>Finite element analysis</topic><topic>Finite Element method (MATLAB PDETOOL)</topic><topic>Genetic algorithms</topic><topic>Insulators</topic><topic>Optimization</topic><topic>Optimized contour design</topic><topic>Real Coded Genetic algorithm with SBX</topic><topic>Suspension insulator</topic><topic>Suspensions</topic><toplevel>online_resources</toplevel><creatorcontrib>Gunasekaran, S.</creatorcontrib><creatorcontrib>Iruthayarajan, M. W.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gunasekaran, S.</au><au>Iruthayarajan, M. W.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Contour optimization of suspension insulators using real coded genetic algorithm with simulated binary crossover</atitle><btitle>2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering</btitle><stitle>ICPRIME</stitle><date>2013-02</date><risdate>2013</risdate><spage>360</spage><epage>364</epage><pages>360-364</pages><isbn>1467358436</isbn><isbn>9781467358439</isbn><eisbn>1467358452</eisbn><eisbn>9781467358446</eisbn><eisbn>1467358444</eisbn><eisbn>9781467358453</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/ICPRIME.2013.6496501</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, 2013, p.360-364 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | 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 |
| title | Contour optimization of suspension insulators using real coded genetic algorithm with simulated binary crossover |
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