Customer-driven demand response model for facilitating roof-top PV and wind power integration

Detalhes bibliográficos
Autor(a) principal: Mahmoudi,N
Data de Publicação: 2017
Outros Autores: Shafie khah,M, Saha,TK, 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/123456789/4829
http://dx.doi.org/10.1049/iet-rpg.2016.0752
Resumo: Integrating wind and solar energy resources poses intermittency to power systems, which faces independent system operators with new technical and economic challenges. This study proposes a novel model to integrate the uncertainties of wind power on the supply side and roof-top solar photovoltaic (PV) on the demand side. To cope with their uncertainties, a demand response (DR) aggregator is proposed, which is enabled to participate in reserve markets. To this end, a new DR model is developed considering both customers' options to reduce and increase load through the DR aggregator. As such, besides improving the existing DR models (load shifting and curtailment), two DR programmes, i.e. load growth and load recovery, are mathematically modelled. Numerical studies indicate the effectiveness of the proposed model to reduce the total operation cost of the system and facilitate the integration of wind power and roof-top PV.
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spelling Customer-driven demand response model for facilitating roof-top PV and wind power integrationIntegrating wind and solar energy resources poses intermittency to power systems, which faces independent system operators with new technical and economic challenges. This study proposes a novel model to integrate the uncertainties of wind power on the supply side and roof-top solar photovoltaic (PV) on the demand side. To cope with their uncertainties, a demand response (DR) aggregator is proposed, which is enabled to participate in reserve markets. To this end, a new DR model is developed considering both customers' options to reduce and increase load through the DR aggregator. As such, besides improving the existing DR models (load shifting and curtailment), two DR programmes, i.e. load growth and load recovery, are mathematically modelled. Numerical studies indicate the effectiveness of the proposed model to reduce the total operation cost of the system and facilitate the integration of wind power and roof-top PV.2017-12-22T18:10:16Z2017-01-01T00:00:00Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/4829http://dx.doi.org/10.1049/iet-rpg.2016.0752engMahmoudi,NShafie khah,MSaha,TKJoão 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:RCAAP2023-05-15T10:20:19Zoai:repositorio.inesctec.pt:123456789/4829Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:57.876295Repositório 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 Customer-driven demand response model for facilitating roof-top PV and wind power integration
title Customer-driven demand response model for facilitating roof-top PV and wind power integration
spellingShingle Customer-driven demand response model for facilitating roof-top PV and wind power integration
Mahmoudi,N
title_short Customer-driven demand response model for facilitating roof-top PV and wind power integration
title_full Customer-driven demand response model for facilitating roof-top PV and wind power integration
title_fullStr Customer-driven demand response model for facilitating roof-top PV and wind power integration
title_full_unstemmed Customer-driven demand response model for facilitating roof-top PV and wind power integration
title_sort Customer-driven demand response model for facilitating roof-top PV and wind power integration
author Mahmoudi,N
author_facet Mahmoudi,N
Shafie khah,M
Saha,TK
João Catalão
author_role author
author2 Shafie khah,M
Saha,TK
João Catalão
author2_role author
author
author
dc.contributor.author.fl_str_mv Mahmoudi,N
Shafie khah,M
Saha,TK
João Catalão
description Integrating wind and solar energy resources poses intermittency to power systems, which faces independent system operators with new technical and economic challenges. This study proposes a novel model to integrate the uncertainties of wind power on the supply side and roof-top solar photovoltaic (PV) on the demand side. To cope with their uncertainties, a demand response (DR) aggregator is proposed, which is enabled to participate in reserve markets. To this end, a new DR model is developed considering both customers' options to reduce and increase load through the DR aggregator. As such, besides improving the existing DR models (load shifting and curtailment), two DR programmes, i.e. load growth and load recovery, are mathematically modelled. Numerical studies indicate the effectiveness of the proposed model to reduce the total operation cost of the system and facilitate the integration of wind power and roof-top PV.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-22T18:10:16Z
2017-01-01T00:00:00Z
2017
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/123456789/4829
http://dx.doi.org/10.1049/iet-rpg.2016.0752
url http://repositorio.inesctec.pt/handle/123456789/4829
http://dx.doi.org/10.1049/iet-rpg.2016.0752
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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