Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://repositorio.inesctec.pt/handle/123456789/4851 http://dx.doi.org/10.1109/tsg.2015.2496796 |
Resumo: | With increasing environmental concerns, the electrification of transportation plays an outstanding role in the sustainable development. In this context, plug-in electric vehicle (PEV) and demand response have indispensable impacts on the future smart grid. Since integration of PEVs into the grid is a key element to achieve sustainable energy systems, this paper presents the optimal behavior of PEV parking lots in the energy and reserve markets. To this end, a model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based demand response programs (DRPs). The proposed model reflects the impacts of different DRPs on the operational behavior of parking lots and optimizes the participation level of parking lots in each DRP. Uncertainties of PEVs and electricity market are also considered by using a stochastic programming approach. Numerical studies indicate that the PEV parking lots can benefit from the selective participation in DRPs. |
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Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation AgentsWith increasing environmental concerns, the electrification of transportation plays an outstanding role in the sustainable development. In this context, plug-in electric vehicle (PEV) and demand response have indispensable impacts on the future smart grid. Since integration of PEVs into the grid is a key element to achieve sustainable energy systems, this paper presents the optimal behavior of PEV parking lots in the energy and reserve markets. To this end, a model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based demand response programs (DRPs). The proposed model reflects the impacts of different DRPs on the operational behavior of parking lots and optimizes the participation level of parking lots in each DRP. Uncertainties of PEVs and electricity market are also considered by using a stochastic programming approach. Numerical studies indicate that the PEV parking lots can benefit from the selective participation in DRPs.2017-12-22T18:37:28Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/4851http://dx.doi.org/10.1109/tsg.2015.2496796engShafie khah,MHeydarian Forushani,EOsorio,GJGil,FASAghaei,JBarani,MJoão Catalãoinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:19:59Zoai:repositorio.inesctec.pt:123456789/4851Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:31.539634Repositório 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 |
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents |
title |
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents |
spellingShingle |
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents Shafie khah,M |
title_short |
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents |
title_full |
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents |
title_fullStr |
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents |
title_full_unstemmed |
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents |
title_sort |
Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents |
author |
Shafie khah,M |
author_facet |
Shafie khah,M Heydarian Forushani,E Osorio,GJ Gil,FAS Aghaei,J Barani,M João Catalão |
author_role |
author |
author2 |
Heydarian Forushani,E Osorio,GJ Gil,FAS Aghaei,J Barani,M João Catalão |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Shafie khah,M Heydarian Forushani,E Osorio,GJ Gil,FAS Aghaei,J Barani,M João Catalão |
description |
With increasing environmental concerns, the electrification of transportation plays an outstanding role in the sustainable development. In this context, plug-in electric vehicle (PEV) and demand response have indispensable impacts on the future smart grid. Since integration of PEVs into the grid is a key element to achieve sustainable energy systems, this paper presents the optimal behavior of PEV parking lots in the energy and reserve markets. To this end, a model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based demand response programs (DRPs). The proposed model reflects the impacts of different DRPs on the operational behavior of parking lots and optimizes the participation level of parking lots in each DRP. Uncertainties of PEVs and electricity market are also considered by using a stochastic programming approach. Numerical studies indicate that the PEV parking lots can benefit from the selective participation in DRPs. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01T00:00:00Z 2016 2017-12-22T18:37:28Z |
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://repositorio.inesctec.pt/handle/123456789/4851 http://dx.doi.org/10.1109/tsg.2015.2496796 |
url |
http://repositorio.inesctec.pt/handle/123456789/4851 http://dx.doi.org/10.1109/tsg.2015.2496796 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 |
instname_str |
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) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131601364320256 |