Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources
Autor(a) principal: | |
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Data de Publicação: | 2015 |
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/123456789/6699 http://dx.doi.org/10.1109/tsg.2015.2423552 |
Resumo: | In a multienergy system, there are different types of dependencies among the energy carriers. Internal dependencies refer to possible changes in the energy source in the presence of energy converters and storage, and are managed by the system operator through the control strategies applied to the equipment. External dependencies (EDs) are due to the choice of the energy supply according to customer preferences when alternative solutions are available. This paper introduces a new model of EDs within a multigeneration representation based on energy hubs. EDs are addressed through a stochastic model in order to take into account the possible uncertainty in the customers' decisions. This model is then used to introduce carrier-based demand response (DR) in which the user participates in DR programs aimed at promoting the shifting among different energy sources by preserving the service provided to the end users. The results obtained from the new model in deterministic and stochastic cases indicate the appropriateness and usefulness of the proposed approach. |
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Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy ResourcesIn a multienergy system, there are different types of dependencies among the energy carriers. Internal dependencies refer to possible changes in the energy source in the presence of energy converters and storage, and are managed by the system operator through the control strategies applied to the equipment. External dependencies (EDs) are due to the choice of the energy supply according to customer preferences when alternative solutions are available. This paper introduces a new model of EDs within a multigeneration representation based on energy hubs. EDs are addressed through a stochastic model in order to take into account the possible uncertainty in the customers' decisions. This model is then used to introduce carrier-based demand response (DR) in which the user participates in DR programs aimed at promoting the shifting among different energy sources by preserving the service provided to the end users. The results obtained from the new model in deterministic and stochastic cases indicate the appropriateness and usefulness of the proposed approach.2018-01-17T13:59:27Z2015-01-01T00:00:00Z2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/6699http://dx.doi.org/10.1109/tsg.2015.2423552engNilufar NeyestaniYazdani Damavandi,MShafie Khah,MChicco,GJoão 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:RCAAP2023-05-15T10:20:54Zoai:repositorio.inesctec.pt:123456789/6699Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:46.718722Repositório 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 |
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources |
title |
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources |
spellingShingle |
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources Nilufar Neyestani |
title_short |
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources |
title_full |
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources |
title_fullStr |
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources |
title_full_unstemmed |
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources |
title_sort |
Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources |
author |
Nilufar Neyestani |
author_facet |
Nilufar Neyestani Yazdani Damavandi,M Shafie Khah,M Chicco,G João Catalão |
author_role |
author |
author2 |
Yazdani Damavandi,M Shafie Khah,M Chicco,G João Catalão |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Nilufar Neyestani Yazdani Damavandi,M Shafie Khah,M Chicco,G João Catalão |
description |
In a multienergy system, there are different types of dependencies among the energy carriers. Internal dependencies refer to possible changes in the energy source in the presence of energy converters and storage, and are managed by the system operator through the control strategies applied to the equipment. External dependencies (EDs) are due to the choice of the energy supply according to customer preferences when alternative solutions are available. This paper introduces a new model of EDs within a multigeneration representation based on energy hubs. EDs are addressed through a stochastic model in order to take into account the possible uncertainty in the customers' decisions. This model is then used to introduce carrier-based demand response (DR) in which the user participates in DR programs aimed at promoting the shifting among different energy sources by preserving the service provided to the end users. The results obtained from the new model in deterministic and stochastic cases indicate the appropriateness and usefulness of the proposed approach. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01T00:00:00Z 2015 2018-01-17T13:59:27Z |
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/123456789/6699 http://dx.doi.org/10.1109/tsg.2015.2423552 |
url |
http://repositorio.inesctec.pt/handle/123456789/6699 http://dx.doi.org/10.1109/tsg.2015.2423552 |
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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1799131611236663297 |