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Charge/Discharge Scheduling of Electric Vehicles and Battery Energy Storage in Smart Building: a Mix Binary Linear Programming model

2020-09-08Journal article Open access
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dc.contributor.authorForoozandeh, Zahra
dc.contributor.authorRamos, Sérgio Filipe Carvalho
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorGomes, Antonio
dc.date.accessioned2021-09-20T15:37:55Z
dc.date.available2021-09-20T15:37:55Z
dc.date.issued2020-09-08
dc.descriptionECAI 2020pt_PT
dc.description.abstractNowadays, the buildings have an important role in the high demand for electrical energy. Therefore, the energy management of the buildings may have significant influence on reducing the electricity consumption. Moreover, Electric Vehicles (EVs) have been considering as a power storage device in Smart Buildings (SBs) aiming to reduce the cost and consuming energy. Here, an energy management framework is proposed in which by considering the flexibility of the contracted power of each apartment, an optimal charging-discharging scheduled for EVs and Battery Energy Storage System (BESS) is defined over a long time period to minimize the electricity cost of the building. The proposed model is designed by a Mixed Binary Linear Programming formulation (MBLP) that the charging and discharging of EVs as well as BESS in each period is treated as binary decision variables. In order to validate the model, a case study involving three scenarios are considered. The obtained results indicate a 15% reduction in total electricity consumption cost and consumption energy by the grid over one year. Finally, the impact of capacity and charge/discharge rate of BESS on the power cost is analyzed and the optimal size of the BESS for assumed SB in the case study is also reported.pt_PT
dc.description.sponsorshipThis work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2019 and BENEFICE PTDC/EEIEEE/ 29070/2017.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.doi10.3390/en13071719pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18446
dc.language.isoengpt_PT
dc.relationBENEFICE PTDC/EEIEEE/ 29070/2017pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectBattery Energy Storage in Smart Buildingpt_PT
dc.subjectMix Binary Linear Programming modelpt_PT
dc.titleCharge/Discharge Scheduling of Electric Vehicles and Battery Energy Storage in Smart Building: a Mix Binary Linear Programming modelpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/154850/PT
oaire.citation.conferencePlaceSantiago de Compostela, Spainpt_PT
oaire.citation.title24th European Conference on Artificial Intelligence (ECAI 2020)pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameforouzandehjouneghani
person.familyNameCarvalho Ramos
person.familyNameSoares
person.familyNameVale
person.givenNamezahra
person.givenNameSérgio Filipe
person.givenNameJoão
person.givenNameZita
person.identifierzahra foroozandeh
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idC71B-D2A3-8705
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0003-3901-690X
person.identifier.orcid0000-0002-1120-5656
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.typearticlept_PT
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