Optimal control strategy of vehicle-to-grid for modifying the load curve based on discrete particle swarm algorithm
The electric vehicle can curb the emission. Foremost, the batteries on electric vehicle not only can take energy from the grid, but also can provide energy back to the grid if necessary, which known as vehicle to grid (V2G) conception. Therefore, as energy storage unit, the vehicle has the potential...
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| creator | Han Hai-Ying He Jing-Han Wang Xiao-Jun Tian Wen-Qi |
| description | The electric vehicle can curb the emission. Foremost, the batteries on electric vehicle not only can take energy from the grid, but also can provide energy back to the grid if necessary, which known as vehicle to grid (V2G) conception. Therefore, as energy storage unit, the vehicle has the potential ability to improve the efficiency and increase the reliability of the power grid. V2G will be the important role in the future's smart grid for the advantages above. However, it is in urgent need of a control strategy to figure out an appropriate charge and discharge times for fleets of vehicles. In the view of this, this paper presents an optimal control strategy based on discrete particle swarm algorithm, constraints in which are decided by the battery' own characteristic and set by the owner. In final, an example was displayed to support the feasibility of the algorithm. |
| doi_str_mv | 10.1109/DRPT.2011.5994138 |
| format | Conference Proceeding |
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Foremost, the batteries on electric vehicle not only can take energy from the grid, but also can provide energy back to the grid if necessary, which known as vehicle to grid (V2G) conception. Therefore, as energy storage unit, the vehicle has the potential ability to improve the efficiency and increase the reliability of the power grid. V2G will be the important role in the future's smart grid for the advantages above. However, it is in urgent need of a control strategy to figure out an appropriate charge and discharge times for fleets of vehicles. In the view of this, this paper presents an optimal control strategy based on discrete particle swarm algorithm, constraints in which are decided by the battery' own characteristic and set by the owner. In final, an example was displayed to support the feasibility of the algorithm.</description><identifier>ISBN: 9781457703645</identifier><identifier>ISBN: 1457703645</identifier><identifier>EISBN: 1457703637</identifier><identifier>EISBN: 1457703653</identifier><identifier>EISBN: 9781457703652</identifier><identifier>EISBN: 9781457703638</identifier><identifier>DOI: 10.1109/DRPT.2011.5994138</identifier><language>eng</language><publisher>IEEE</publisher><subject>Availability ; Batteries ; control strategy ; Discharges ; discrete particle swarm algorithm ; Electric vehicles ; Particle swarm optimization ; Power grids ; vehicle to grid</subject><ispartof>2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011, p.1523-1527</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/5994138$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5994138$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Han Hai-Ying</creatorcontrib><creatorcontrib>He Jing-Han</creatorcontrib><creatorcontrib>Wang Xiao-Jun</creatorcontrib><creatorcontrib>Tian Wen-Qi</creatorcontrib><title>Optimal control strategy of vehicle-to-grid for modifying the load curve based on discrete particle swarm algorithm</title><title>2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)</title><addtitle>DRPT</addtitle><description>The electric vehicle can curb the emission. Foremost, the batteries on electric vehicle not only can take energy from the grid, but also can provide energy back to the grid if necessary, which known as vehicle to grid (V2G) conception. Therefore, as energy storage unit, the vehicle has the potential ability to improve the efficiency and increase the reliability of the power grid. V2G will be the important role in the future's smart grid for the advantages above. However, it is in urgent need of a control strategy to figure out an appropriate charge and discharge times for fleets of vehicles. In the view of this, this paper presents an optimal control strategy based on discrete particle swarm algorithm, constraints in which are decided by the battery' own characteristic and set by the owner. In final, an example was displayed to support the feasibility of the algorithm.</description><subject>Availability</subject><subject>Batteries</subject><subject>control strategy</subject><subject>Discharges</subject><subject>discrete particle swarm algorithm</subject><subject>Electric vehicles</subject><subject>Particle swarm optimization</subject><subject>Power grids</subject><subject>vehicle to grid</subject><isbn>9781457703645</isbn><isbn>1457703645</isbn><isbn>1457703637</isbn><isbn>1457703653</isbn><isbn>9781457703652</isbn><isbn>9781457703638</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kN1KAzEUhCMiqLUPIN6cF9ias9ndJJdSf6FQkd6XNDm7jew2JYmVfXsr1rkZ5uIbmGHsFvkMkev7x4_31azkiLNa6wqFOmPXWNVSctEIec6mWqr_XNWXbJrSJz-qaTQqvGJpuc9-MD3YsMsx9JByNJm6EUILB9p621ORQ9FF76ANEYbgfDv6XQd5S9AH48B-xQPBxiRyEHbgfLKRMsHexPzLQ_o2cQDTdyH6vB1u2EVr-kTTk0_Y6vlpNX8tFsuXt_nDovCa52LTONJKN6WVUmNLRmpDWtRonRbaGFtKZ-tKVULWghClco0uleNKoSRjxYTd_dV6Ilrv43FmHNenm8QPTPhdhQ</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Han Hai-Ying</creator><creator>He Jing-Han</creator><creator>Wang Xiao-Jun</creator><creator>Tian Wen-Qi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201107</creationdate><title>Optimal control strategy of vehicle-to-grid for modifying the load curve based on discrete particle swarm algorithm</title><author>Han Hai-Ying ; He Jing-Han ; Wang Xiao-Jun ; Tian Wen-Qi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-b6de98962c7791fea79ae9351cd939aac27dc54843753e1178d6928d08817eac3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Availability</topic><topic>Batteries</topic><topic>control strategy</topic><topic>Discharges</topic><topic>discrete particle swarm algorithm</topic><topic>Electric vehicles</topic><topic>Particle swarm optimization</topic><topic>Power grids</topic><topic>vehicle to grid</topic><toplevel>online_resources</toplevel><creatorcontrib>Han Hai-Ying</creatorcontrib><creatorcontrib>He Jing-Han</creatorcontrib><creatorcontrib>Wang Xiao-Jun</creatorcontrib><creatorcontrib>Tian Wen-Qi</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>Han Hai-Ying</au><au>He Jing-Han</au><au>Wang Xiao-Jun</au><au>Tian Wen-Qi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimal control strategy of vehicle-to-grid for modifying the load curve based on discrete particle swarm algorithm</atitle><btitle>2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT)</btitle><stitle>DRPT</stitle><date>2011-07</date><risdate>2011</risdate><spage>1523</spage><epage>1527</epage><pages>1523-1527</pages><isbn>9781457703645</isbn><isbn>1457703645</isbn><eisbn>1457703637</eisbn><eisbn>1457703653</eisbn><eisbn>9781457703652</eisbn><eisbn>9781457703638</eisbn><abstract>The electric vehicle can curb the emission. Foremost, the batteries on electric vehicle not only can take energy from the grid, but also can provide energy back to the grid if necessary, which known as vehicle to grid (V2G) conception. Therefore, as energy storage unit, the vehicle has the potential ability to improve the efficiency and increase the reliability of the power grid. V2G will be the important role in the future's smart grid for the advantages above. However, it is in urgent need of a control strategy to figure out an appropriate charge and discharge times for fleets of vehicles. In the view of this, this paper presents an optimal control strategy based on discrete particle swarm algorithm, constraints in which are decided by the battery' own characteristic and set by the owner. In final, an example was displayed to support the feasibility of the algorithm.</abstract><pub>IEEE</pub><doi>10.1109/DRPT.2011.5994138</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781457703645 |
| ispartof | 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011, p.1523-1527 |
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| language | eng |
| recordid | cdi_ieee_primary_5994138 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Availability Batteries control strategy Discharges discrete particle swarm algorithm Electric vehicles Particle swarm optimization Power grids vehicle to grid |
| title | Optimal control strategy of vehicle-to-grid for modifying the load curve based on discrete particle swarm algorithm |
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