Ant colony based transmission expansion developed for the Nordic Area and Great Britain
This paper presents an improved algorithm for transmission expansion planning based on ant colony optimization, which is a heuristic optimization method showing several advantages compared to traditional methods. A grid model for the Nordic Area, Great Britain and a combination of both are used to s...
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| creator | Fuchs, I. Voller, S. Gjengedal, T. |
| description | This paper presents an improved algorithm for transmission expansion planning based on ant colony optimization, which is a heuristic optimization method showing several advantages compared to traditional methods. A grid model for the Nordic Area, Great Britain and a combination of both are used to show the performance of the optimization process. The focus of the work is to develop a tool for transmission expansion, especially regarding the new challenge of integrating large on- and offshore wind power. The results show that the algorithm is capable to deliver good solutions for relatively large systems up to several hundred buses, lines and generators. |
| doi_str_mv | 10.1109/PTC.2011.6019370 |
| format | Conference Proceeding |
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The results show that the algorithm is capable to deliver good solutions for relatively large systems up to several hundred buses, lines and generators.</description><subject>Ant colony optimization</subject><subject>computational intelligence</subject><subject>Generators</subject><subject>Investments</subject><subject>Load flow</subject><subject>Optimization</subject><subject>parallel computing</subject><subject>Production</subject><subject>Transmission expansion planning</subject><subject>Wind power generation</subject><subject>wind power integration</subject><isbn>1424484197</isbn><isbn>9781424484195</isbn><isbn>9781424484171</isbn><isbn>1424484170</isbn><isbn>1424484189</isbn><isbn>9781424484188</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kEFLxDAQhSMiqGvvgpf8ga6ZtGk6x1p0FRb1UPC4pEmKkW5akiDuv7ey65vDex8Mw_AIuQW2BmB4_961a84A1hUDLCQ7IxnKGkpelnUJEs7J9T-gvCRZjF9sUVWhAHZFPhqfqJ7GyR9or6I1NAXl497F6CZP7c-80F8y9tuO07wsDFOg6dPS1ykYp2kTrKLKG7pZQqIPwSXl_A25GNQYbXbyFemeHrv2Od--bV7aZps7ZCkfAHpcntF6sJVEFAY1F6Xqe47KakRVF8swBJAcejMoAQUXWjOBXPK6WJG741lnrd3Nwe1VOOxOVRS_QKhRjw</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Fuchs, I.</creator><creator>Voller, S.</creator><creator>Gjengedal, T.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201106</creationdate><title>Ant colony based transmission expansion developed for the Nordic Area and Great Britain</title><author>Fuchs, I. ; Voller, S. ; Gjengedal, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-f11b9006ccfe67995d9c254abb29aec99a838380911721bdfa51325cc05927283</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Ant colony optimization</topic><topic>computational intelligence</topic><topic>Generators</topic><topic>Investments</topic><topic>Load flow</topic><topic>Optimization</topic><topic>parallel computing</topic><topic>Production</topic><topic>Transmission expansion planning</topic><topic>Wind power generation</topic><topic>wind power integration</topic><toplevel>online_resources</toplevel><creatorcontrib>Fuchs, I.</creatorcontrib><creatorcontrib>Voller, S.</creatorcontrib><creatorcontrib>Gjengedal, T.</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>Fuchs, I.</au><au>Voller, S.</au><au>Gjengedal, T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Ant colony based transmission expansion developed for the Nordic Area and Great Britain</atitle><btitle>2011 IEEE Trondheim PowerTech</btitle><stitle>PTC</stitle><date>2011-06</date><risdate>2011</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>1424484197</isbn><isbn>9781424484195</isbn><eisbn>9781424484171</eisbn><eisbn>1424484170</eisbn><eisbn>1424484189</eisbn><eisbn>9781424484188</eisbn><abstract>This paper presents an improved algorithm for transmission expansion planning based on ant colony optimization, which is a heuristic optimization method showing several advantages compared to traditional methods. A grid model for the Nordic Area, Great Britain and a combination of both are used to show the performance of the optimization process. The focus of the work is to develop a tool for transmission expansion, especially regarding the new challenge of integrating large on- and offshore wind power. The results show that the algorithm is capable to deliver good solutions for relatively large systems up to several hundred buses, lines and generators.</abstract><pub>IEEE</pub><doi>10.1109/PTC.2011.6019370</doi><tpages>6</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Ant colony optimization computational intelligence Generators Investments Load flow Optimization parallel computing Production Transmission expansion planning Wind power generation wind power integration |
| title | Ant colony based transmission expansion developed for the Nordic Area and Great Britain |
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