dc.contributorUniversidade Federal de Minas Gerais (UFMG)
dc.contributorFederal Institute of Education Science and Technology of Minas Gerais
dc.contributorNorwegian University of Science and Technology
dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-30T11:13:03Z
dc.date.accessioned2022-12-20T03:32:10Z
dc.date.available2022-04-30T11:13:03Z
dc.date.available2022-12-20T03:32:10Z
dc.date.created2022-04-30T11:13:03Z
dc.date.issued2017-07-01
dc.identifier14th Brazilian Power Electronics Conference, COBEP 2017, v. 2018-January, p. 1-6.
dc.identifierhttp://hdl.handle.net/11449/232775
dc.identifier10.1109/COBEP.2017.8257261
dc.identifier2-s2.0-85050645446
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5412868
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.
dc.languageeng
dc.relation14th 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 resources
dc.typeActas de congresos


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