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A Flexibility Home Energy Management System to Support Agreggator Requests in Smart Grids

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dc.contributor.authorSousa, Tiago
dc.contributor.authorLezama, Fernando
dc.contributor.authorSoares, João
dc.contributor.authorRamos, Sérgio Filipe Carvalho
dc.contributor.authorVale, Zita
dc.date.accessioned2019-11-22T15:57:37Z
dc.date.embargo2119
dc.date.issued2018
dc.description.abstractEnergy flexibility will play a key role in the proper functioning of energy systems, introducing a set of benefits to all involved stakeholders and changing the shape of electricity markets as we know them. It is expected that new players with different interests will emerge in this context. Particularly, the aggregators might allow end-users to be aware of their consumption flexibility value, or merely facilitate consumer's participation, for instance through the use of demand response. To this end, a prompt system response allowing the interaction between aggregators and residential users is needed. Therefore, the so-called Home Energy Management System (HEMS) becomes an active tool to communicate end-users with aggregators, performing the necessary changes in the consumption profiles in benefit of all involved parts. In this paper, a model with the objective of achieving a match between the flexibility required by an aggregator and the flexibility offered by residential users through the HEMS capability of shifting specific appliances is proposed. The model is then solved using a well-known swarm intelligence algorithm, the particle swarm optimization (PSO). An illustrative example of how the model is optimized using PSO, re-scheduling appliances to meet a flexibility curve, is presented. After that, a case study with 15 appliances based on real profiles of home devices is solved showing the effectiveness of the proposed approach to procure flexibility.pt_PT
dc.description.sponsorshipThis work has received funding from the Project NetEffiCity (ANI|P2020 18015), and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2013.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/SSCI.2018.8628918pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/14939
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relationUID/EEA/00760/2013 - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (147448)pt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8628918pt_PT
dc.subjectHome appliancespt_PT
dc.subjectOptimizationpt_PT
dc.subjectEnergy managementpt_PT
dc.subjectParticle swarm optimizationpt_PT
dc.subjectMonitoringpt_PT
dc.subjectMathematical modelpt_PT
dc.subjectLoad modelingpt_PT
dc.titleA Flexibility Home Energy Management System to Support Agreggator Requests in Smart Gridspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBengaluru, India, 18-21 November 2018pt_PT
oaire.citation.endPage1836pt_PT
oaire.citation.startPage1830pt_PT
oaire.citation.title2018 IEEE Symposium Series on Computational Intelligence (SSCI)pt_PT
person.familyNameSousa
person.familyNameLezama
person.familyNameSoares
person.familyNameCarvalho Ramos
person.givenNameTiago
person.givenNameFernando
person.givenNameJoão
person.givenNameSérgio Filipe
person.identifier126036
person.identifier1043580
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.orcid0000-0002-3704-562X
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-1120-5656
person.identifier.ridB-9229-2019
person.identifier.ridA-6945-2017
person.identifier.scopus-author-id36549396600
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id35436109600
rcaap.rightsembargoedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication140e3ebc-ad42-402f-84b8-a54c1fb2cfc0
relation.isAuthorOfPublication6a55317b-92c2-404f-8542-c7a73061cc9b
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationf01a54a0-e6c0-4cf3-afd8-5a664bbac7b4
relation.isAuthorOfPublication.latestForDiscovery140e3ebc-ad42-402f-84b8-a54c1fb2cfc0

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