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

dc.contributor.authorFernandes, Filipe
dc.contributor.authorMorais, Hugo
dc.contributor.authorVale, Zita
dc.date.accessioned2023-02-02T12:33:20Z
dc.date.embargo2035
dc.date.issued2022
dc.description.abstractConsumer-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.pt_PT
dc.description.sponsorshipThis work was supported by national funds through FCT, Fundação para a Ciência e a Tecnologia, under project UIDB/50021/2020.
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3233/ICA-220679pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22114
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIOS Presspt_PT
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.relation.publisherversionhttps://content.iospress.com/articles/integrated-computer-aided-engineering/ica220679pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDemand responsept_PT
dc.subjectDynamic energy resources prioritypt_PT
dc.subjectDomestic consumerpt_PT
dc.subjectElectric vehiclespt_PT
dc.subjectEnergy resources managementpt_PT
dc.titleNear real-time management of appliances, distributed generation and electric vehicles for demand response participationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.citation.endPage332pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage313pt_PT
oaire.citation.titleIntegrated Computer-Aided Engineeringpt_PT
oaire.citation.volume29pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMorais
person.familyNameVale
person.givenNameHugo
person.givenNameZita
person.identifier80878
person.identifier632184
person.identifier.ciencia-id2010-D878-271B
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-5906-4744
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id21834170800
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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