Stochastic Modeling of Multienergy Carriers Dependencies in Smart Local Networks With Distributed Energy Resources

Detalhes bibliográficos
Autor(a) principal: Nilufar Neyestani
Data de Publicação: 2015
Outros Autores: Yazdani Damavandi,M, Shafie Khah,M, Chicco,G, 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/123456789/6699
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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spelling 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
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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
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