Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid

Detalhes bibliográficos
Autor(a) principal: Miguel, Pedro
Data de Publicação: 2014
Outros Autores: Neves, Luís, Martins, A. Gomes
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/80984
https://doi.org/10.1016/j.epsr.2014.07.012
Resumo: The purpose of this work is to provide an insight for a possible methodology to implement demand response strategies at a city scale. The objective is to determine a range of values for the energy and power that can be made available through the large deployment of a residential energy management system. This work can help the distribution system operator to assess the impact of the usage of such technology at the grid level. The paper describes a methodology that identifies the start of operation cycles of appliances and other loads on a given general load diagram, enabling the simulation of load shifting caused by the operation of residential energy management systems. A simulation of an hypothetical 20% deployment of a residential energy management system on the city of Coimbra in Portugal, was performed. The results show the release of almost 3% of the demand on periods of higher price, but also the occurrence of a pronounced peak during the night period, an occurrence which may need to be dealt with, and for which some solutions are proposed.
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spelling Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity gridSimulation Demand response Energy Box Household sector Smart Grid Distribution system operatorThe purpose of this work is to provide an insight for a possible methodology to implement demand response strategies at a city scale. The objective is to determine a range of values for the energy and power that can be made available through the large deployment of a residential energy management system. This work can help the distribution system operator to assess the impact of the usage of such technology at the grid level. The paper describes a methodology that identifies the start of operation cycles of appliances and other loads on a given general load diagram, enabling the simulation of load shifting caused by the operation of residential energy management systems. A simulation of an hypothetical 20% deployment of a residential energy management system on the city of Coimbra in Portugal, was performed. The results show the release of almost 3% of the demand on periods of higher price, but also the occurrence of a pronounced peak during the night period, an occurrence which may need to be dealt with, and for which some solutions are proposed.FCT (SFRH/BD/88127/2012)Elsevier2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/80984http://hdl.handle.net/10316/80984https://doi.org/10.1016/j.epsr.2014.07.012por0378-7796Miguel, PedroNeves, LuísMartins, A. Gomesinfo: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:RCAAP2019-06-02T12:54:50Zoai:estudogeral.uc.pt:10316/80984Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:03:11.983736Repositório 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 Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
title Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
spellingShingle Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
Miguel, Pedro
Simulation Demand response Energy Box Household sector Smart Grid Distribution system operator
title_short Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
title_full Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
title_fullStr Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
title_full_unstemmed Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
title_sort Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
author Miguel, Pedro
author_facet Miguel, Pedro
Neves, Luís
Martins, A. Gomes
author_role author
author2 Neves, Luís
Martins, A. Gomes
author2_role author
author
dc.contributor.author.fl_str_mv Miguel, Pedro
Neves, Luís
Martins, A. Gomes
dc.subject.por.fl_str_mv Simulation Demand response Energy Box Household sector Smart Grid Distribution system operator
topic Simulation Demand response Energy Box Household sector Smart Grid Distribution system operator
description The purpose of this work is to provide an insight for a possible methodology to implement demand response strategies at a city scale. The objective is to determine a range of values for the energy and power that can be made available through the large deployment of a residential energy management system. This work can help the distribution system operator to assess the impact of the usage of such technology at the grid level. The paper describes a methodology that identifies the start of operation cycles of appliances and other loads on a given general load diagram, enabling the simulation of load shifting caused by the operation of residential energy management systems. A simulation of an hypothetical 20% deployment of a residential energy management system on the city of Coimbra in Portugal, was performed. The results show the release of almost 3% of the demand on periods of higher price, but also the occurrence of a pronounced peak during the night period, an occurrence which may need to be dealt with, and for which some solutions are proposed.
publishDate 2014
dc.date.none.fl_str_mv 2014
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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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/80984
http://hdl.handle.net/10316/80984
https://doi.org/10.1016/j.epsr.2014.07.012
url http://hdl.handle.net/10316/80984
https://doi.org/10.1016/j.epsr.2014.07.012
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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