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Multi-objective Particle Swarm Optimization to Solve Energy Scheduling with Vehicle-to-Grid in Office Buildings Considering Uncertainties

2017Conference object Open access
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dc.contributor.authorBorges, Nuno
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-09T12:01:30Z
dc.date.available2021-03-09T12:01:30Z
dc.date.issued2017
dc.description.abstractThis paper presents a Multi-Objective Particle Swarm Optimization (MOPSO) methodology to solve the problem of energy resource management in buildings with a penetration of Distributed Generation (DG) and Electric Vehicles (EVs). The proposed methodology consists in a multi-objective function, in which it is intended to maximize the profit and minimize CO2 emissions. This methodology considers the uncertainties associated with the production of electricity by the photovoltaic and wind energy sources. This uncertainty is modeled with the use of a robust optimization approach in the metaheuristic. A case study is presented using a real building facility from Portugal, in order to verify the feasibility of the implemented robust MOPSO.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.doi10.1016/j.ifacol.2017.08.523pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17324
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relationANI|P2020 18015pt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2405896317308911?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectElectric Vehiclespt_PT
dc.subjectEnergy Resources Managementpt_PT
dc.subjectMulti-Objective Optimizationpt_PT
dc.subjectRobust Optimizationpt_PT
dc.subjectUncertaintypt_PT
dc.titleMulti-objective Particle Swarm Optimization to Solve Energy Scheduling with Vehicle-to-Grid in Office Buildings Considering Uncertaintiespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F00760%2F2013/PT
oaire.citation.conferencePlaceToulouse, Francept_PT
oaire.citation.endPage3361pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage3356pt_PT
oaire.citation.titleIFAC-PapersOnLinept_PT
oaire.citation.volume50pt_PT
oaire.fundingStream5876
person.familyNameSoares
person.familyNameVale
person.givenNameJoão
person.givenNameZita
person.identifier1043580
person.identifier632184
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4172-4502
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.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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