Near real-time management of appliances, distributed generation and electric vehicles for demand response participation

Detalhes bibliográficos
Autor(a) principal: Fernandes, Filipe
Data de Publicação: 2022
Outros Autores: Morais, Hugo, Vale, Zita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/22114
Resumo: Consumer-centric energy management approaches are emerging as a major solution for future power systems. In this context, intelligent home management systems should control different kinds of devices existing in the houses assuring convenient comfort levels and understanding the users’ behaviour. At the same time, the home management systems should be able to interact with other actors such as energy communities, aggregators, and system operators. The main contribution of this work is a new methodology allowing intelligent management, in near real-time (1 minute), of different types of energy resources existing in a smart home. The energy resources include appliances and other loads, micro-generation, and electric vehicles. The proposed system includes a permanent evaluation of the operation state of each energy resource considering their functional model and the behaviour and comfort level defined by the users. Participation in demand response programs reducing the power consumption limits is also considered showing the advantage of the proposed approach. The case study contains two scenarios considering a demand response program of power limitation with 120 minutes duration. To guarantee the participation in these demand response events, the system should evaluate the priority of each device according to its model. A domestic consumer with 45 energy resources (appliances, generation, and electric vehicles) is used for demonstration purposes.
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spelling Near real-time management of appliances, distributed generation and electric vehicles for demand response participationDemand responseDynamic energy resources priorityDomestic consumerElectric vehiclesEnergy resources managementConsumer-centric energy management approaches are emerging as a major solution for future power systems. In this context, intelligent home management systems should control different kinds of devices existing in the houses assuring convenient comfort levels and understanding the users’ behaviour. At the same time, the home management systems should be able to interact with other actors such as energy communities, aggregators, and system operators. The main contribution of this work is a new methodology allowing intelligent management, in near real-time (1 minute), of different types of energy resources existing in a smart home. The energy resources include appliances and other loads, micro-generation, and electric vehicles. The proposed system includes a permanent evaluation of the operation state of each energy resource considering their functional model and the behaviour and comfort level defined by the users. Participation in demand response programs reducing the power consumption limits is also considered showing the advantage of the proposed approach. The case study contains two scenarios considering a demand response program of power limitation with 120 minutes duration. To guarantee the participation in these demand response events, the system should evaluate the priority of each device according to its model. A domestic consumer with 45 energy resources (appliances, generation, and electric vehicles) is used for demonstration purposes.This work was supported by national funds through FCT, Fundação para a Ciência e a Tecnologia, under project UIDB/50021/2020.IOS PressRepositório Científico do Instituto Politécnico do PortoFernandes, FilipeMorais, HugoVale, Zita20222035-01-01T00:00:00Z2022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/22114eng10.3233/ICA-220679metadata 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:RCAAP2023-03-13T13:18:28Zoai:recipp.ipp.pt:10400.22/22114Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:42:10.148536Repositório 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 Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
title Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
spellingShingle Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
Fernandes, Filipe
Demand response
Dynamic energy resources priority
Domestic consumer
Electric vehicles
Energy resources management
title_short Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
title_full Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
title_fullStr Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
title_full_unstemmed Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
title_sort Near real-time management of appliances, distributed generation and electric vehicles for demand response participation
author Fernandes, Filipe
author_facet Fernandes, Filipe
Morais, Hugo
Vale, Zita
author_role author
author2 Morais, Hugo
Vale, Zita
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Fernandes, Filipe
Morais, Hugo
Vale, Zita
dc.subject.por.fl_str_mv Demand response
Dynamic energy resources priority
Domestic consumer
Electric vehicles
Energy resources management
topic Demand response
Dynamic energy resources priority
Domestic consumer
Electric vehicles
Energy resources management
description Consumer-centric energy management approaches are emerging as a major solution for future power systems. In this context, intelligent home management systems should control different kinds of devices existing in the houses assuring convenient comfort levels and understanding the users’ behaviour. At the same time, the home management systems should be able to interact with other actors such as energy communities, aggregators, and system operators. The main contribution of this work is a new methodology allowing intelligent management, in near real-time (1 minute), of different types of energy resources existing in a smart home. The energy resources include appliances and other loads, micro-generation, and electric vehicles. The proposed system includes a permanent evaluation of the operation state of each energy resource considering their functional model and the behaviour and comfort level defined by the users. Participation in demand response programs reducing the power consumption limits is also considered showing the advantage of the proposed approach. The case study contains two scenarios considering a demand response program of power limitation with 120 minutes duration. To guarantee the participation in these demand response events, the system should evaluate the priority of each device according to its model. A domestic consumer with 45 energy resources (appliances, generation, and electric vehicles) is used for demonstration purposes.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
2035-01-01T00:00:00Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/22114
url http://hdl.handle.net/10400.22/22114
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.3233/ICA-220679
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dc.publisher.none.fl_str_mv IOS Press
publisher.none.fl_str_mv IOS Press
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