Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability

Detalhes bibliográficos
Autor(a) principal: Shafie khah,M
Data de Publicação: 2016
Outros Autores: Heydarian Forushani,E, Golshan,MEH, Siano,P, Moghaddam,MP, Sheikh El Eslam,MK, João Catalão
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/123456789/4860
http://dx.doi.org/10.1016/j.apenergy.2015.10.134
Resumo: Ever since energy sustainability is an emergent concern, Plug-in Electric Vehicles (PEVs) significantly affect the approaching smart grids. Indeed, Demand Response (DR) brings a positive effect on the uncertainties of renewable energy sources, improving market efficiency and enhancing system reliability. This paper proposes a multi-stage stochastic model of a PEV aggregation agent to participate in day-ahead and intraday electricity markets. The stochastic model reflects several uncertainties such as the behaviour of PEV owners, electricity market prices, and activated quantity of reserve by the system operator. For this purpose, appropriate scenarios are utilized to realize the uncertain feature of the problem. Furthermore, in the proposed model, the PEV aggregation agents can update their bids/offers by taking part in the intraday market. To this end, these aggregation agents take part in Demand Response exchange (DRX), markets designed in the intraday session by employing DR resources. The numerical results show that DR provides a perfect opportunity for PEV aggregation agents to increase the profit. In addition, the results reveal that the PEV aggregation agent not only can increase its profit by participating in the DRX market, but also can become an important player in the mentioned market.
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spelling Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainabilityEver since energy sustainability is an emergent concern, Plug-in Electric Vehicles (PEVs) significantly affect the approaching smart grids. Indeed, Demand Response (DR) brings a positive effect on the uncertainties of renewable energy sources, improving market efficiency and enhancing system reliability. This paper proposes a multi-stage stochastic model of a PEV aggregation agent to participate in day-ahead and intraday electricity markets. The stochastic model reflects several uncertainties such as the behaviour of PEV owners, electricity market prices, and activated quantity of reserve by the system operator. For this purpose, appropriate scenarios are utilized to realize the uncertain feature of the problem. Furthermore, in the proposed model, the PEV aggregation agents can update their bids/offers by taking part in the intraday market. To this end, these aggregation agents take part in Demand Response exchange (DRX), markets designed in the intraday session by employing DR resources. The numerical results show that DR provides a perfect opportunity for PEV aggregation agents to increase the profit. In addition, the results reveal that the PEV aggregation agent not only can increase its profit by participating in the DRX market, but also can become an important player in the mentioned market.2017-12-22T18:38:26Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/4860http://dx.doi.org/10.1016/j.apenergy.2015.10.134engShafie khah,MHeydarian Forushani,EGolshan,MEHSiano,PMoghaddam,MPSheikh El Eslam,MKJoão 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:RCAAP2023-05-15T10:20:06Zoai:repositorio.inesctec.pt:123456789/4860Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:40.615850Repositório 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 trading of plug-in electric vehicle aggregation agents in a market environment for sustainability
title Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability
spellingShingle Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability
Shafie khah,M
title_short Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability
title_full Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability
title_fullStr Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability
title_full_unstemmed Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability
title_sort Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability
author Shafie khah,M
author_facet Shafie khah,M
Heydarian Forushani,E
Golshan,MEH
Siano,P
Moghaddam,MP
Sheikh El Eslam,MK
João Catalão
author_role author
author2 Heydarian Forushani,E
Golshan,MEH
Siano,P
Moghaddam,MP
Sheikh El Eslam,MK
João Catalão
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Shafie khah,M
Heydarian Forushani,E
Golshan,MEH
Siano,P
Moghaddam,MP
Sheikh El Eslam,MK
João Catalão
description Ever since energy sustainability is an emergent concern, Plug-in Electric Vehicles (PEVs) significantly affect the approaching smart grids. Indeed, Demand Response (DR) brings a positive effect on the uncertainties of renewable energy sources, improving market efficiency and enhancing system reliability. This paper proposes a multi-stage stochastic model of a PEV aggregation agent to participate in day-ahead and intraday electricity markets. The stochastic model reflects several uncertainties such as the behaviour of PEV owners, electricity market prices, and activated quantity of reserve by the system operator. For this purpose, appropriate scenarios are utilized to realize the uncertain feature of the problem. Furthermore, in the proposed model, the PEV aggregation agents can update their bids/offers by taking part in the intraday market. To this end, these aggregation agents take part in Demand Response exchange (DRX), markets designed in the intraday session by employing DR resources. The numerical results show that DR provides a perfect opportunity for PEV aggregation agents to increase the profit. In addition, the results reveal that the PEV aggregation agent not only can increase its profit by participating in the DRX market, but also can become an important player in the mentioned market.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2017-12-22T18:38:26Z
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dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/4860
http://dx.doi.org/10.1016/j.apenergy.2015.10.134
url http://repositorio.inesctec.pt/handle/123456789/4860
http://dx.doi.org/10.1016/j.apenergy.2015.10.134
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