Application of Genetic Algorithm for the Reduction of Reactive Power Losses in Radial Distribution System
Power losses in distribution system have become the most concerned issue in power losses analysis in any power system. In the effort of reducing power losses within distribution system, reactive power compensation has become increasingly important as it affects the operational, economical and qualit...
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description | Power losses in distribution system have become the most concerned issue in power losses analysis in any power system. In the effort of reducing power losses within distribution system, reactive power compensation has become increasingly important as it affects the operational, economical and quality of service for electric power systems. This paper presents the application of genetic algorithm approach for reactive power loss reduction in radial distribution system. IEEE 34-bus Standard Test System is used together with the ERACS and MATLAB as powerful tools for the analysis and simulation work. ERACS is used to perform load flow analysis while MATLAB is used for the identification of capacitor current via GAtool, and algorithm for the calculation of loss savings, its particular capacitor size and location. The result is then compared with the heuristic search strategies to evaluate the performance of genetic algorithm. |
doi_str_mv | 10.1109/PECON.2006.346623 |
format | Conference Proceeding |
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In the effort of reducing power losses within distribution system, reactive power compensation has become increasingly important as it affects the operational, economical and quality of service for electric power systems. This paper presents the application of genetic algorithm approach for reactive power loss reduction in radial distribution system. IEEE 34-bus Standard Test System is used together with the ERACS and MATLAB as powerful tools for the analysis and simulation work. ERACS is used to perform load flow analysis while MATLAB is used for the identification of capacitor current via GAtool, and algorithm for the calculation of loss savings, its particular capacitor size and location. 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In the effort of reducing power losses within distribution system, reactive power compensation has become increasingly important as it affects the operational, economical and quality of service for electric power systems. This paper presents the application of genetic algorithm approach for reactive power loss reduction in radial distribution system. IEEE 34-bus Standard Test System is used together with the ERACS and MATLAB as powerful tools for the analysis and simulation work. ERACS is used to perform load flow analysis while MATLAB is used for the identification of capacitor current via GAtool, and algorithm for the calculation of loss savings, its particular capacitor size and location. The result is then compared with the heuristic search strategies to evaluate the performance of genetic algorithm.</description><subject>Analytical models</subject><subject>Capacitor Placement</subject><subject>Capacitors</subject><subject>Genetic Algorithm</subject><subject>Genetic algorithms</subject><subject>kW/kVAR Ratio</subject><subject>Load Flow Analysis</subject><subject>MATLAB</subject><subject>Power generation economics</subject><subject>Power system analysis computing</subject><subject>Power system economics</subject><subject>Quality of service</subject><subject>Reactive power</subject><subject>System testing</subject><subject>Voltage profile</subject><isbn>9781424402731</isbn><isbn>1424402735</isbn><isbn>1424402743</isbn><isbn>9781424402748</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j9tKw0AYhFdEUGseQLzZF0jc87qXIdYqBFuiXpdN8seu5ER2a-nbG9TOzczAx8AgdEtJQikx95tltn5NGCEq4UIpxs_QNRVMCMK04OcoMvrh1Dm9RJH3X2QWN9IwcYVcOo6tq2xwQ4-HBq-gh-AqnLafw-TCrsPNMOGwA1xAva9OWAF2zt-AN8MBJpwP3oPHrseFrZ1t8aPzYXLl_pd_O_oA3Q26aGzrIfr3Bfp4Wr5nz3G-Xr1kaR47qmWIjTUWagZSl1SZCnhDmdaMNKWVQKXhtipVabiSnBtRGaXmf7bRWtc109TwBbr723UAsB0n19npuBVUCqE0_wHYVFkO</recordid><startdate>200611</startdate><enddate>200611</enddate><creator>Nallagownden, P.</creator><creator>Thin, L.T.</creator><creator>Guan, N.C.</creator><creator>Mahmud, C.M.H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200611</creationdate><title>Application of Genetic Algorithm for the Reduction of Reactive Power Losses in Radial Distribution System</title><author>Nallagownden, P. ; Thin, L.T. ; Guan, N.C. ; Mahmud, C.M.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-9a9aed2e57b169ce3f127720fba5e1593acb6b93653394c966814af777dd27193</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Analytical models</topic><topic>Capacitor Placement</topic><topic>Capacitors</topic><topic>Genetic Algorithm</topic><topic>Genetic algorithms</topic><topic>kW/kVAR Ratio</topic><topic>Load Flow Analysis</topic><topic>MATLAB</topic><topic>Power generation economics</topic><topic>Power system analysis computing</topic><topic>Power system economics</topic><topic>Quality of service</topic><topic>Reactive power</topic><topic>System testing</topic><topic>Voltage profile</topic><toplevel>online_resources</toplevel><creatorcontrib>Nallagownden, P.</creatorcontrib><creatorcontrib>Thin, L.T.</creatorcontrib><creatorcontrib>Guan, N.C.</creatorcontrib><creatorcontrib>Mahmud, C.M.H.</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>Nallagownden, P.</au><au>Thin, L.T.</au><au>Guan, N.C.</au><au>Mahmud, C.M.H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Application of Genetic Algorithm for the Reduction of Reactive Power Losses in Radial Distribution System</atitle><btitle>2006 IEEE International Power and Energy Conference</btitle><stitle>PECON</stitle><date>2006-11</date><risdate>2006</risdate><spage>76</spage><epage>81</epage><pages>76-81</pages><isbn>9781424402731</isbn><isbn>1424402735</isbn><eisbn>1424402743</eisbn><eisbn>9781424402748</eisbn><abstract>Power losses in distribution system have become the most concerned issue in power losses analysis in any power system. In the effort of reducing power losses within distribution system, reactive power compensation has become increasingly important as it affects the operational, economical and quality of service for electric power systems. This paper presents the application of genetic algorithm approach for reactive power loss reduction in radial distribution system. IEEE 34-bus Standard Test System is used together with the ERACS and MATLAB as powerful tools for the analysis and simulation work. ERACS is used to perform load flow analysis while MATLAB is used for the identification of capacitor current via GAtool, and algorithm for the calculation of loss savings, its particular capacitor size and location. The result is then compared with the heuristic search strategies to evaluate the performance of genetic algorithm.</abstract><pub>IEEE</pub><doi>10.1109/PECON.2006.346623</doi><tpages>6</tpages></addata></record> |
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subjects | Analytical models Capacitor Placement Capacitors Genetic Algorithm Genetic algorithms kW/kVAR Ratio Load Flow Analysis MATLAB Power generation economics Power system analysis computing Power system economics Quality of service Reactive power System testing Voltage profile |
title | Application of Genetic Algorithm for the Reduction of Reactive Power Losses in Radial Distribution System |
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