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Model predictive control for microgrid functionalities: review and future challenges

2021-03Journal article Open access
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dc.contributor.authorGarcia-Torres, Felix
dc.contributor.authorCabeza, Ascensión Zafra
dc.contributor.authorSilva, Carlos Santos
dc.contributor.authorGrieu, Stéphane
dc.contributor.authorDarure, Tejaswinee
dc.contributor.authorEstanqueiro, Ana
dc.date.accessioned2021-12-28T16:25:01Z
dc.date.available2021-12-28T16:25:01Z
dc.date.issued2021-03
dc.description.abstractABSTRACT: Renewable generation and energy storage systems are technologies which evoke the future energy paradigm. While these technologies have reached their technological maturity, the way they are integrated and operated in the future smart grids still presents several challenges. Microgrids appear as a key technology to pave the path towards the integration and optimized operation in smart grids. However, the optimization of microgrids considered as a set of subsystems introduces a high degree of complexity in the associated control problem. Model Predictive Control (MPC) is a control methodology which has been satisfactorily applied to solve complex control problems in the industry and also currently it is widely researched and adopted in the research community. This paper reviews the application of MPC to microgrids from the point of view of their main functionalities, describing the design methodology and the main current advances. Finally, challenges and future perspectives of MPC and its applications in microgrids are described and summarized.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGarcia-Torres, Felix... [et.al.] - Model predictive control for microgrid functionalities: review and future challenges. In: Energies, 2021, Vol. 14 (5), article nº 1296pt_PT
dc.identifier.doi10.3390/en14051296pt_PT
dc.identifier.eissn1996-1073
dc.identifier.urihttp://hdl.handle.net/10400.9/3640
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationSUDOE SOE3/P3/E0901pt_PT
dc.relationPID2019-104149RB-100pt_PT
dc.relation.publisherversionhttps://doi.org/10.3390/en14051296pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRenewable energy systemspt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectBuildingspt_PT
dc.subjectMicrogenerationpt_PT
dc.subjectEnergy storage systemspt_PT
dc.subjectElectricity marketspt_PT
dc.titleModel predictive control for microgrid functionalities: review and future challengespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue5pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume14pt_PT
person.familyNameGarcia-Torres
person.familyNameZafra Cabeza
person.familyNameSantos Silva
person.familyNameGrieu
person.familyNameDARURE
person.familyNameEstanqueiro
person.givenNameFelix
person.givenNameAscensión
person.givenNameCarlos Augusto
person.givenNameStéphane
person.givenNameTejaswinee
person.givenNameAna
person.identifier.ciencia-idC815-AAC2-2B36
person.identifier.ciencia-id7F11-A24D-EE81
person.identifier.orcid0000-0001-7240-706X
person.identifier.orcid0000-0001-9505-8050
person.identifier.orcid0000-0002-7532-3993
person.identifier.orcid0000-0002-2000-3001
person.identifier.orcid0000-0003-0171-0189
person.identifier.orcid0000-0002-0476-2526
person.identifier.ridB-9676-2009
person.identifier.ridJ-9752-2012
person.identifier.scopus-author-id56707434200
person.identifier.scopus-author-id9249548800
person.identifier.scopus-author-id55906885900
person.identifier.scopus-author-id19336967700
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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