Logotipo do repositório
 

Publicação:
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources

dc.contributor.authorFerreira, W. M.
dc.contributor.authorBrandao, D. I.
dc.contributor.authorGuimaraes, F. G.
dc.contributor.authorTedeschi, E.
dc.contributor.authorMarafao, F. P. [UNESP]
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.contributor.institutionFederal Institute of Education Science and Technology of Minas Gerais
dc.contributor.institutionNorwegian University of Science and Technology
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-30T11:13:03Z
dc.date.available2022-04-30T11:13:03Z
dc.date.issued2017-07-01
dc.description.abstractThis paper proposes a multiobjective optimization technique that maximizes the active power generation from single-phase distributed generators, and minimizes the unbalance factor at the point of common coupling of the network. Such technique is incorporated into a centralized control strategy for optimal power flow control purpose. The centralized control strategy used herein is the Power-Based Control that coordinates the distributed units to contribute to the network's active and reactive power needs, per phase, in proportion of their power capacity. The simulation results of a simplified network with three single-phase distributed generators validate the proposal in terms of power flow control, voltage regulation and power quality.en
dc.description.affiliationGraduate Program in Electrical Engineering Federal University of Minas Gerais
dc.description.affiliationFederal Institute of Education Science and Technology of Minas Gerais
dc.description.affiliationDepartment of Electric Power Engineering Norwegian University of Science and Technology
dc.description.affiliationGroup of Automation and Integrated Systems Universidade Estadual Paulista
dc.description.affiliationUnespGroup of Automation and Integrated Systems Universidade Estadual Paulista
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 2016/08645-9
dc.description.sponsorshipIdCNPq: 420850/2016-3
dc.format.extent1-6
dc.identifierhttp://dx.doi.org/10.1109/COBEP.2017.8257261
dc.identifier.citation14th Brazilian Power Electronics Conference, COBEP 2017, v. 2018-January, p. 1-6.
dc.identifier.doi10.1109/COBEP.2017.8257261
dc.identifier.scopus2-s2.0-85050645446
dc.identifier.urihttp://hdl.handle.net/11449/232775
dc.language.isoeng
dc.relation.ispartof14th Brazilian Power Electronics Conference, COBEP 2017
dc.sourceScopus
dc.subjectDistributed generation
dc.subjectGenetic algorithm
dc.subjectMicrogrid
dc.subjectMultiobjective power flow
dc.subjectUnbalance
dc.titleMultiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resourcesen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Ciência e Tecnologia, Sorocabapt
unesp.departmentEngenharia de Controle e Automação - ICTSpt

Arquivos