Repository logo
 
Publication

Optimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart City

2019Journal article Open access
Simple item page
dc.contributor.authorCanizes, Bruno
dc.contributor.authorSoares, João
dc.contributor.authorVale, Zita
dc.contributor.authorCorchado, Juan Manuel
dc.date.accessioned2021-02-18T10:03:16Z
dc.date.available2021-02-18T10:03:16Z
dc.date.issued2019
dc.description.abstractThe use of electric vehicles (EVs) is growing in popularity each year, and as a result, considerable demand increase is expected in the distribution network (DN). Additionally, the uncertainty of EV user behavior is high, making it urgent to understand its impact on the network. Thus, this paper proposes an EV user behavior simulator, which operates in conjunction with an innovative smart distribution locational marginal pricing based on operation/reconfiguration, for the purpose of understanding the impact of the dynamic energy pricing on both sides: the grid and the user. The main goal, besides the distribution system operator (DSO) expenditure minimization, is to understand how and to what extent dynamic pricing of energy for EV charging can positively affect the operation of the smart grid and the EV charging cost. A smart city with a 13-bus DN and a high penetration of distributed energy resources is used to demonstrate the application of the proposed models. The results demonstrate that dynamic energy pricing for EV charging is an efficient approach that increases monetary savings considerably for both the DSO and EV users.pt_PT
dc.description.sponsorshipThis work has received funding from FEDER Funds through the COMPETE program, from National Funds through FCT under the project UID/EEA/00760/2019 and from the project PTDC/EEI-EEE/28983/2017-CENERGETIC. Bruno Canizes is supported by FCT Funds through the SFRH/BD/110678/2015 PhD scholarship.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/en12040686pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17027
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/12/4/686pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCharging behaviorspt_PT
dc.subjectDistribution locational marginal pricingpt_PT
dc.subjectDistribution networkspt_PT
dc.subjectElectric mobilitypt_PT
dc.subjectElectric vehiclept_PT
dc.subjectOperationpt_PT
dc.subjectReconfigurationpt_PT
dc.subjectRenewable energy sourcespt_PT
dc.subjectSmart citypt_PT
dc.subjectSmart gridpt_PT
dc.titleOptimal Distribution Grid Operation Using DLMP-Based Pricing for Electric Vehicle Charging Infrastructure in a Smart Citypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28983%2F2017/PT
oaire.citation.issue4pt_PT
oaire.citation.startPage686pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume12pt_PT
oaire.fundingStream9471 - RIDTI
person.familyNameCanizes
person.familyNameSoares
person.familyNameVale
person.familyNameCorchado
person.givenNameBruno
person.givenNameJoão
person.givenNameZita
person.givenNameJuan Manuel
person.identifier1043580
person.identifier632184
person.identifier.ciencia-idA411-F561-E922
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-id2B1C-3662-2BC9
person.identifier.orcid0000-0002-9808-5537
person.identifier.orcid0000-0002-4172-4502
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-2829-1829
person.identifier.ridI-3492-2017
person.identifier.ridA-5824-2012
person.identifier.ridD-3229-2013
person.identifier.scopus-author-id35408699300
person.identifier.scopus-author-id35436109600
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id7006360842
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7ea215ea-79d5-42be-a870-a0c8b23cf556
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication2b7fbce0-75af-4caa-9945-0dff2a9f3b23
relation.isAuthorOfPublication.latestForDiscovery2b7fbce0-75af-4caa-9945-0dff2a9f3b23
relation.isProjectOfPublication6615f0c1-4abc-48fc-ac0a-fce560b02403
relation.isProjectOfPublication.latestForDiscovery6615f0c1-4abc-48fc-ac0a-fce560b02403

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ART_GECAD_2019_energies12(4) 686.pdf
Size:
1.52 MB
Format:
Adobe Portable Document Format
Download

Collections

ISEP – GECAD – Artigos