Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/1345 |
Resumo: | This paper proposes a simulated annealing (SA) approach to address energy resources management from the point of view of a virtual power player (VPP) operating in a smart grid. Distributed generation, demand response, and gridable vehicles are intelligently managed on a multiperiod basis according to V2G user´s profiles and requirements. Apart from using the aggregated resources, the VPP can also purchase additional energy from a set of external suppliers. The paper includes a case study for a 33 bus distribution network with 66 generators, 32 loads, and 1000 gridable vehicles. The results of the SA approach are compared with a methodology based on mixed-integer nonlinear programming. A variation of this method, using ac load flow, is also used and the results are compared with the SA solution using network simulation. The proposed SA approach proved to be able to obtain good solutions in low execution times, providing VPPs with suitable decision support for the management of a large number of distributed resources. |
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Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approachDistributed generationEnergy resource managementSimulated annealingSmart gridVehicle-to-grid (V2G)Virtual power player (VPP)This paper proposes a simulated annealing (SA) approach to address energy resources management from the point of view of a virtual power player (VPP) operating in a smart grid. Distributed generation, demand response, and gridable vehicles are intelligently managed on a multiperiod basis according to V2G user´s profiles and requirements. Apart from using the aggregated resources, the VPP can also purchase additional energy from a set of external suppliers. The paper includes a case study for a 33 bus distribution network with 66 generators, 32 loads, and 1000 gridable vehicles. The results of the SA approach are compared with a methodology based on mixed-integer nonlinear programming. A variation of this method, using ac load flow, is also used and the results are compared with the SA solution using network simulation. The proposed SA approach proved to be able to obtain good solutions in low execution times, providing VPPs with suitable decision support for the management of a large number of distributed resources.IEEERepositório Científico do Instituto Politécnico do PortoSousa, TiagoMorais, H.Vale, ZitaFaria, PedroSoares, João2013-04-16T10:51:35Z20122013-04-12T10:50:39Z2012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/1345eng1949-305310.1109/TSG.2011.2165303metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:40:41Zoai:recipp.ipp.pt:10400.22/1345Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:22:31.570849Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach |
title |
Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach |
spellingShingle |
Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach Sousa, Tiago Distributed generation Energy resource management Simulated annealing Smart grid Vehicle-to-grid (V2G) Virtual power player (VPP) |
title_short |
Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach |
title_full |
Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach |
title_fullStr |
Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach |
title_full_unstemmed |
Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach |
title_sort |
Intelligent energy resource management considering vehicle-to-grid: A simulated annealing approach |
author |
Sousa, Tiago |
author_facet |
Sousa, Tiago Morais, H. Vale, Zita Faria, Pedro Soares, João |
author_role |
author |
author2 |
Morais, H. Vale, Zita Faria, Pedro Soares, João |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Sousa, Tiago Morais, H. Vale, Zita Faria, Pedro Soares, João |
dc.subject.por.fl_str_mv |
Distributed generation Energy resource management Simulated annealing Smart grid Vehicle-to-grid (V2G) Virtual power player (VPP) |
topic |
Distributed generation Energy resource management Simulated annealing Smart grid Vehicle-to-grid (V2G) Virtual power player (VPP) |
description |
This paper proposes a simulated annealing (SA) approach to address energy resources management from the point of view of a virtual power player (VPP) operating in a smart grid. Distributed generation, demand response, and gridable vehicles are intelligently managed on a multiperiod basis according to V2G user´s profiles and requirements. Apart from using the aggregated resources, the VPP can also purchase additional energy from a set of external suppliers. The paper includes a case study for a 33 bus distribution network with 66 generators, 32 loads, and 1000 gridable vehicles. The results of the SA approach are compared with a methodology based on mixed-integer nonlinear programming. A variation of this method, using ac load flow, is also used and the results are compared with the SA solution using network simulation. The proposed SA approach proved to be able to obtain good solutions in low execution times, providing VPPs with suitable decision support for the management of a large number of distributed resources. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 2012-01-01T00:00:00Z 2013-04-16T10:51:35Z 2013-04-12T10:50:39Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/1345 |
url |
http://hdl.handle.net/10400.22/1345 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1949-3053 10.1109/TSG.2011.2165303 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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