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Robust Energy Scheduling for Smart Buildings Considering Uncertainty in PV Generation

2022Journal article Open access
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dc.contributor.authorForoozandeh, Zahra
dc.contributor.authorTavares, Ines
dc.contributor.authorSoares, João
dc.contributor.authorRamos, Sérgio
dc.contributor.authorVale, Zita
dc.date.accessioned2022-07-07T08:39:57Z
dc.date.available2022-07-07T08:39:57Z
dc.date.issued2022
dc.description.abstractThe fast growth of renewable energy sources in the residential building led to a complex problem related to the energy management system: the uncertainty associated with the forecast of photovoltaic power generation. To solve this challenge, this paper proposes a robust optimization model to obtain the optimal solution for the worst-case scenario of photovoltaic generation. A Mixed Binary Linear Programming problem is transformed into a trackable robust counterpart to provide immunity against the worst-case realization. Through the budget of uncertainty, the risk of the solution can be adjusted. The results demonstrate that the influence of Battery Energy Storage System and Electric Vehicles against uncertainties leads to higher economic gains up to 6% reduction.pt_PT
dc.description.sponsorshipThis work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project BENEFICE–PTDC/EEI-EEE/29070/2017 and UIDB/00760/2020 under CEECIND/02814/2017 grant.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ICEEE55327.2022.9772561pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/20666
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationBENEFICE–PTDC/EEI-EEE/29070/2017pt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relationNot Available
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9772561pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectEnergy schedulingpt_PT
dc.subjectPV Uncertaintypt_PT
dc.subjectRobust Optimizationpt_PT
dc.subjectSmart Buildingpt_PT
dc.titleRobust Energy Scheduling for Smart Buildings Considering Uncertainty in PV Generationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02814%2F2017%2FCP1417%2FCT0002/PT
oaire.citation.conferencePlaceAlanya, Turkeypt_PT
oaire.citation.endPage249pt_PT
oaire.citation.startPage245pt_PT
oaire.citation.title9th International Conference on Electrical and Electronics Engineering (ICEEE)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamCEEC IND 2017
person.familyNameforouzandehjouneghani
person.familyNameSoares
person.familyNameCarvalho Ramos
person.familyNameVale
person.givenNamezahra
person.givenNameJoão
person.givenNameSérgio Filipe
person.givenNameZita
person.identifierzahra foroozandeh
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idC71B-D2A3-8705
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0003-3901-690X
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-1120-5656
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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