Demand Response Design and Use Based on Network Locational Marginal Prices

Detalhes bibliográficos
Autor(a) principal: Morais, Hugo
Data de Publicação: 2014
Outros Autores: Vale, Zita, Faria, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/5958
Resumo: Power systems have been experiencing huge changes mainly due to the substantial increase of distributed generation (DG) and the operation in competitive environments. Virtual Power Players (VPP) can aggregate several players, namely a diversity of energy resources, including distributed generation (DG) based on several technologies, electric storage systems (ESS) and demand response (DR). Energy resources management gains an increasing relevance in this competitive context. This makes the DR use more interesting and flexible, giving place to a wide range of new opportunities. This paper proposes a methodology to support VPPs in the DR programs’ management, considering all the existing energy resources (generation and storage units) and the distribution network. The proposed method is based on locational marginal prices (LMP) values. The evaluation of the impact of using DR specific programs in the LMP values supports the manager decision concerning the DR use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 33-bus network with intensive use of DG.
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spelling Demand Response Design and Use Based on Network Locational Marginal PricesDemand responseDistributed generationLoad curtailmentLocational marginal priceVirtual power playerPower systems have been experiencing huge changes mainly due to the substantial increase of distributed generation (DG) and the operation in competitive environments. Virtual Power Players (VPP) can aggregate several players, namely a diversity of energy resources, including distributed generation (DG) based on several technologies, electric storage systems (ESS) and demand response (DR). Energy resources management gains an increasing relevance in this competitive context. This makes the DR use more interesting and flexible, giving place to a wide range of new opportunities. This paper proposes a methodology to support VPPs in the DR programs’ management, considering all the existing energy resources (generation and storage units) and the distribution network. The proposed method is based on locational marginal prices (LMP) values. The evaluation of the impact of using DR specific programs in the LMP values supports the manager decision concerning the DR use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 33-bus network with intensive use of DG.ElsevierRepositório Científico do Instituto Politécnico do PortoMorais, HugoVale, ZitaFaria, Pedro2015-05-06T16:18:22Z2014-102014-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/5958eng10.1016/j.ijepes.2014.03.024metadata only accessinfo: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:RCAAP2023-03-13T12:46:05Zoai:recipp.ipp.pt:10400.22/5958Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:26:33.227265Repositório 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 Demand Response Design and Use Based on Network Locational Marginal Prices
title Demand Response Design and Use Based on Network Locational Marginal Prices
spellingShingle Demand Response Design and Use Based on Network Locational Marginal Prices
Morais, Hugo
Demand response
Distributed generation
Load curtailment
Locational marginal price
Virtual power player
title_short Demand Response Design and Use Based on Network Locational Marginal Prices
title_full Demand Response Design and Use Based on Network Locational Marginal Prices
title_fullStr Demand Response Design and Use Based on Network Locational Marginal Prices
title_full_unstemmed Demand Response Design and Use Based on Network Locational Marginal Prices
title_sort Demand Response Design and Use Based on Network Locational Marginal Prices
author Morais, Hugo
author_facet Morais, Hugo
Vale, Zita
Faria, Pedro
author_role author
author2 Vale, Zita
Faria, Pedro
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Morais, Hugo
Vale, Zita
Faria, Pedro
dc.subject.por.fl_str_mv Demand response
Distributed generation
Load curtailment
Locational marginal price
Virtual power player
topic Demand response
Distributed generation
Load curtailment
Locational marginal price
Virtual power player
description Power systems have been experiencing huge changes mainly due to the substantial increase of distributed generation (DG) and the operation in competitive environments. Virtual Power Players (VPP) can aggregate several players, namely a diversity of energy resources, including distributed generation (DG) based on several technologies, electric storage systems (ESS) and demand response (DR). Energy resources management gains an increasing relevance in this competitive context. This makes the DR use more interesting and flexible, giving place to a wide range of new opportunities. This paper proposes a methodology to support VPPs in the DR programs’ management, considering all the existing energy resources (generation and storage units) and the distribution network. The proposed method is based on locational marginal prices (LMP) values. The evaluation of the impact of using DR specific programs in the LMP values supports the manager decision concerning the DR use. The proposed method has been computationally implemented and its application is illustrated in this paper using a 33-bus network with intensive use of DG.
publishDate 2014
dc.date.none.fl_str_mv 2014-10
2014-10-01T00:00:00Z
2015-05-06T16:18:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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url http://hdl.handle.net/10400.22/5958
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.ijepes.2014.03.024
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dc.publisher.none.fl_str_mv Elsevier
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