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A Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resources

2022Journal article Open access
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dc.contributor.authorDe Lima, Tayenne D.
dc.contributor.authorFranco, John F.
dc.contributor.authorLezama, Fernando
dc.contributor.authorSoares, João
dc.date.accessioned2023-02-01T16:42:05Z
dc.date.available2023-02-01T16:42:05Z
dc.date.issued2022
dc.description.abstractThe electrical distribution system (EDS) has undergone major changes in the last decade due to the increasing integration of distributed generation (DG), particularly renewable energy DG. Since renewable energy resources have uncertain generation, energy storage systems (ESSs) in the EDS can reduce the impact of those uncertainties. Besides, electric vehicles (EVs) have been increasing in recent years leveraged by environmental concerns, bringing new challenges to the operation and planning of the EDS. In this context, new approaches for the distribution system expansion planning (DSEP) problem should consider the distributed energy resources (DG units, ESSs, and EVs) and address environmental impacts. This paper proposes a mixed-integer linear programming model for the DSEP problem considering DG units, ESSs, and EV charging stations, thus incorporating the environmental impact and uncertainties associated with demand (conventional and EVs) and renewable generation. In contrast to other approaches, the proposed model includes the simultaneous optimization of investments in substations, circuits, and distributed energy resources, including environmental aspects (CO 2 emissions). The optimization method was developed in the modeling language AMPL and solved via CPLEX. Tests carried out with a 24-node system illustrate its effectiveness as a valuable tool that can assist EDS planners in the integration of distributed energy resources.pt_PT
dc.description.sponsorshipThis work was supported in part by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), in the scope of the Program CAPES-PrInt, under Grant 88887.310463/2018-00 and Grant 88887.570741/2020-00; in part by the Brazilian National Council for Scientific and Technological Development (CNPq) under Grant 313047/2017-0; in part by the São Paulo Research Foundation (FAPESP) through CENERGETIC Research Project under Grant 2015/21972-6, Grant 2017/02831-8, Grant 2018/23617-7, Grant 2018/20990-9, and Grant 2018/08008-4; in part by the Fundo Europeu de Desenvolvimento Regional (FEDER) Funds through the Operational Program for Competitiveness and Internationalization (COMPETE2020) under Project POCI-01-0145-FEDER-028983; and in part by the National Funds through the Fundação para a Ciência e Tecnologia (FCT) Portuguese Foundation for Science and Technology under Project PTDC/EEI-EEE/28983/2017 (CENERGETIC), Project CEECIND/02814/2017, and Project UIDB/000760/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/ACCESS.2022.3146799pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22083
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relation88887.310463/2018-00pt_PT
dc.relation88887.570741/2020-00pt_PT
dc.relation313047/2017-0pt_PT
dc.relation2015/21972-6pt_PT
dc.relation2017/02831-8pt_PT
dc.relation2018/23617-7pt_PT
dc.relation2018/20990-9pt_PT
dc.relation2018/08008-4pt_PT
dc.relationPOCI-01-0145-FEDER-028983pt_PT
dc.relationNot Available
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9694584pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDistribution system expansion planningpt_PT
dc.subjectIntegrated planning of electrical distribution system and EV charging stationspt_PT
dc.subjectLong-term stochastic planning modelpt_PT
dc.subjectRenewable distributed generationpt_PT
dc.titleA Specialized Long-Term Distribution System Expansion Planning Method With the Integration of Distributed Energy Resourcespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNot Available
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEEI-EEE%2F28983%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 2017/CEECIND%2F02814%2F2017%2FCP1417%2FCT0002/PT
oaire.citation.endPage19148pt_PT
oaire.citation.startPage19133pt_PT
oaire.citation.titleIEEE Accesspt_PT
oaire.citation.volume10pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStreamCEEC IND 2017
person.familyNameLezama
person.familyNameSoares
person.givenNameFernando
person.givenNameJoão
person.identifier1043580
person.identifier.ciencia-idE31F-56D6-1E0F
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.orcid0000-0001-8638-8373
person.identifier.orcid0000-0002-4172-4502
person.identifier.ridA-6945-2017
person.identifier.scopus-author-id36810077500
person.identifier.scopus-author-id35436109600
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
relation.isAuthorOfPublication6a55317b-92c2-404f-8542-c7a73061cc9b
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublication.latestForDiscovery9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isProjectOfPublication6615f0c1-4abc-48fc-ac0a-fce560b02403
relation.isProjectOfPublication7f9ebad6-9f7d-4225-8694-48de17ea8b51
relation.isProjectOfPublication.latestForDiscovery6615f0c1-4abc-48fc-ac0a-fce560b02403

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