A Hybrid Genetic Algorithm for Optimal Power Flow Incorporating FACTS Devices
This paper presents an alternate algorithm to solve the optimal power flow (OPF) problem incorporating FACTS Devices in a multi machine power system using Genetic Algorithm (GA). Using the proposed method, the location of FACTS devices, their type and rated values are optimized simultaneously. Among...
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| creator | Vijayakumar, K. Kumudinidevi, R.P. Suchithra, D. |
| description | This paper presents an alternate algorithm to solve the optimal power flow (OPF) problem incorporating FACTS Devices in a multi machine power system using Genetic Algorithm (GA). Using the proposed method, the location of FACTS devices, their type and rated values are optimized simultaneously. Among the various FACTS devices, TCSC and UPFC are considered. The proposed algorithm is an effective method for finding the optimal choice and allocation of FACTS devices and also in minimizing the overall system cost, which comprises of generation cost and investment cost of FACTS devices. |
| doi_str_mv | 10.1109/ICCIMA.2007.355 |
| format | Conference Proceeding |
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Using the proposed method, the location of FACTS devices, their type and rated values are optimized simultaneously. Among the various FACTS devices, TCSC and UPFC are considered. The proposed algorithm is an effective method for finding the optimal choice and allocation of FACTS devices and also in minimizing the overall system cost, which comprises of generation cost and investment cost of FACTS devices.</description><identifier>ISBN: 0769530508</identifier><identifier>ISBN: 9780769530505</identifier><identifier>DOI: 10.1109/ICCIMA.2007.355</identifier><language>eng</language><publisher>IEEE</publisher><subject>Cost function ; Educational institutions ; Genetic algorithms ; Genetic engineering ; Load flow ; Power capacitors ; Power engineering and energy ; Power generation ; Power transmission lines ; Thyristors</subject><ispartof>International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 2007, Vol.1, p.463-467</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/4426623$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27916,54911</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4426623$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Vijayakumar, K.</creatorcontrib><creatorcontrib>Kumudinidevi, R.P.</creatorcontrib><creatorcontrib>Suchithra, D.</creatorcontrib><title>A Hybrid Genetic Algorithm for Optimal Power Flow Incorporating FACTS Devices</title><title>International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007)</title><addtitle>ICCIMA</addtitle><description>This paper presents an alternate algorithm to solve the optimal power flow (OPF) problem incorporating FACTS Devices in a multi machine power system using Genetic Algorithm (GA). Using the proposed method, the location of FACTS devices, their type and rated values are optimized simultaneously. Among the various FACTS devices, TCSC and UPFC are considered. The proposed algorithm is an effective method for finding the optimal choice and allocation of FACTS devices and also in minimizing the overall system cost, which comprises of generation cost and investment cost of FACTS devices.</description><subject>Cost function</subject><subject>Educational institutions</subject><subject>Genetic algorithms</subject><subject>Genetic engineering</subject><subject>Load flow</subject><subject>Power capacitors</subject><subject>Power engineering and energy</subject><subject>Power generation</subject><subject>Power transmission lines</subject><subject>Thyristors</subject><isbn>0769530508</isbn><isbn>9780769530505</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjk9LwzAchgMiqHNnD17yBVp_-d8cS7VbYWOC8zzSNJmRrhlpcezbW9D38lweHl6EngjkhIB-aaqq2ZY5BVA5E-IGPYCSWjAQUNyh5Th-wzwuiJbqHm1LvL62KXR45QY3BYvL_hhTmL5O2MeEd-cpnEyP3-PFJVz38YKbwcZ0jslMYTjiuqz2H_jV_QTrxkd0600_uuU_F-izfttX62yzWzVVuckCATFlyhdEOqWtb5mzFFqwSljgXcs7Lb3ptOJUE8NBKM-5abW2hbecMjnrnWcL9PzXDc65wznNF9P1wDmVkjL2C0xxS34</recordid><startdate>200712</startdate><enddate>200712</enddate><creator>Vijayakumar, K.</creator><creator>Kumudinidevi, R.P.</creator><creator>Suchithra, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200712</creationdate><title>A Hybrid Genetic Algorithm for Optimal Power Flow Incorporating FACTS Devices</title><author>Vijayakumar, K. ; Kumudinidevi, R.P. ; Suchithra, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-7f816e79cfb3ec20b0c75c04db4d96fad974291a4057f44ab99c8fc4236ec2df3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Cost function</topic><topic>Educational institutions</topic><topic>Genetic algorithms</topic><topic>Genetic engineering</topic><topic>Load flow</topic><topic>Power capacitors</topic><topic>Power engineering and energy</topic><topic>Power generation</topic><topic>Power transmission lines</topic><topic>Thyristors</topic><toplevel>online_resources</toplevel><creatorcontrib>Vijayakumar, K.</creatorcontrib><creatorcontrib>Kumudinidevi, R.P.</creatorcontrib><creatorcontrib>Suchithra, D.</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>Vijayakumar, K.</au><au>Kumudinidevi, R.P.</au><au>Suchithra, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Hybrid Genetic Algorithm for Optimal Power Flow Incorporating FACTS Devices</atitle><btitle>International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007)</btitle><stitle>ICCIMA</stitle><date>2007-12</date><risdate>2007</risdate><volume>1</volume><spage>463</spage><epage>467</epage><pages>463-467</pages><isbn>0769530508</isbn><isbn>9780769530505</isbn><abstract>This paper presents an alternate algorithm to solve the optimal power flow (OPF) problem incorporating FACTS Devices in a multi machine power system using Genetic Algorithm (GA). Using the proposed method, the location of FACTS devices, their type and rated values are optimized simultaneously. Among the various FACTS devices, TCSC and UPFC are considered. The proposed algorithm is an effective method for finding the optimal choice and allocation of FACTS devices and also in minimizing the overall system cost, which comprises of generation cost and investment cost of FACTS devices.</abstract><pub>IEEE</pub><doi>10.1109/ICCIMA.2007.355</doi><tpages>5</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Cost function Educational institutions Genetic algorithms Genetic engineering Load flow Power capacitors Power engineering and energy Power generation Power transmission lines Thyristors |
| title | A Hybrid Genetic Algorithm for Optimal Power Flow Incorporating FACTS Devices |
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