Distribution system operation supported by contextual energy resource management based on intelligent SCADA

Detalhes bibliográficos
Autor(a) principal: Vale, Zita
Data de Publicação: 2013
Outros Autores: Morais, H., Faria, Pedro, Ramos, Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/3395
Resumo: Future distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Supervisory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis. The paper includes a case study using a 114 bus distribution network and load demand based on real data.
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spelling Distribution system operation supported by contextual energy resource management based on intelligent SCADADistributed energy resourcesDistributed generationDistribution systemsSCADASmart gridFuture distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Supervisory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis. The paper includes a case study using a 114 bus distribution network and load demand based on real data.ElsevierRepositório Científico do Instituto Politécnico do PortoVale, ZitaMorais, H.Faria, PedroRamos, Carlos2014-01-21T12:28:59Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/3395eng0960-148110.1016/j.renene.2012.10.019info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:43:12Zoai:recipp.ipp.pt:10400.22/3395Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:24:23.936531Repositório 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 Distribution system operation supported by contextual energy resource management based on intelligent SCADA
title Distribution system operation supported by contextual energy resource management based on intelligent SCADA
spellingShingle Distribution system operation supported by contextual energy resource management based on intelligent SCADA
Vale, Zita
Distributed energy resources
Distributed generation
Distribution systems
SCADA
Smart grid
title_short Distribution system operation supported by contextual energy resource management based on intelligent SCADA
title_full Distribution system operation supported by contextual energy resource management based on intelligent SCADA
title_fullStr Distribution system operation supported by contextual energy resource management based on intelligent SCADA
title_full_unstemmed Distribution system operation supported by contextual energy resource management based on intelligent SCADA
title_sort Distribution system operation supported by contextual energy resource management based on intelligent SCADA
author Vale, Zita
author_facet Vale, Zita
Morais, H.
Faria, Pedro
Ramos, Carlos
author_role author
author2 Morais, H.
Faria, Pedro
Ramos, Carlos
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Vale, Zita
Morais, H.
Faria, Pedro
Ramos, Carlos
dc.subject.por.fl_str_mv Distributed energy resources
Distributed generation
Distribution systems
SCADA
Smart grid
topic Distributed energy resources
Distributed generation
Distribution systems
SCADA
Smart grid
description Future distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Supervisory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis. The paper includes a case study using a 114 bus distribution network and load demand based on real data.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2014-01-21T12:28:59Z
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://hdl.handle.net/10400.22/3395
url http://hdl.handle.net/10400.22/3395
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0960-1481
10.1016/j.renene.2012.10.019
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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