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Optimal Planning of Electric Vehicles Energy Exchange in Parking Lots Considering Uncertainties

dc.contributor.authorSanchez, David A.
dc.contributor.authorTorres, Santiago P.
dc.contributor.authorChillogalli, Jose E.
dc.contributor.authorChamorro, Harold R.
dc.contributor.authorGonzalez, Luis G.
dc.contributor.authorSood, Vijay K.
dc.contributor.authorRomero, Ruben R. [UNESP]
dc.contributor.institutionand Telecommunications Engineering (DEET)
dc.contributor.institutionCNPq Scholarship Student
dc.contributor.institutionKth
dc.contributor.institutionOntario Tech University
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T15:42:07Z
dc.date.available2023-07-29T15:42:07Z
dc.date.issued2022-01-01
dc.description.abstractWith the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs' parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use (ToU) tariffs.en
dc.description.affiliationUniversity of Cuenca Department of Electrical Electronics and Telecommunications Engineering (DEET)
dc.description.affiliationCNPq Scholarship Student
dc.description.affiliationRotal Institute of Technology Kth
dc.description.affiliationOntario Tech University
dc.description.affiliationPaulista State University-UNESP Electrical Energy Planning Laboratory (LaPSEE), São Paulo
dc.description.affiliationUnespPaulista State University-UNESP Electrical Energy Planning Laboratory (LaPSEE), São Paulo
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.identifierhttp://dx.doi.org/10.1109/ISGT-Europe54678.2022.9960637
dc.identifier.citationIEEE PES Innovative Smart Grid Technologies Conference Europe, v. 2022-October.
dc.identifier.dimensionspub.1153171606
dc.identifier.doi10.1109/ISGT-Europe54678.2022.9960637
dc.identifier.isbn978-1-6654-8032-1
dc.identifier.orcid0000-0003-2128-2425
dc.identifier.orcid0000-0002-8803-6811
dc.identifier.orcid0000-0003-2774-9815
dc.identifier.orcid0000-0002-7744-254X
dc.identifier.orcid0000-0003-2100-357X
dc.identifier.orcid0009-0001-1142-5579
dc.identifier.orcid0000-0001-9992-3494
dc.identifier.orcid0000-0003-3859-3799
dc.identifier.scopus2-s2.0-85143800696
dc.identifier.urihttp://hdl.handle.net/11449/249466
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE PES Innovative Smart Grid Technologies Conference Europe
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceScopus
dc.sourceDimensions
dc.subjectElectric Vehicles
dc.subjectMonte Carlo simulation
dc.subjectoptimization energy Exchange
dc.subjecttime-of-use tariffs
dc.titleOptimal Planning of Electric Vehicles Energy Exchange in Parking Lots Considering Uncertaintiesen
dc.typeTrabalho apresentado em eventopt
dspace.entity.typePublication
unesp.departmentEngenharia Elétrica - FEISpt

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