Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/COBEP.2017.8257261 http://hdl.handle.net/11449/232775 |
Resumo: | This 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. |
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Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resourcesDistributed generationGenetic algorithmMicrogridMultiobjective power flowUnbalanceThis 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Graduate Program in Electrical Engineering Federal University of Minas GeraisFederal Institute of Education Science and Technology of Minas GeraisDepartment of Electric Power Engineering Norwegian University of Science and TechnologyGroup of Automation and Integrated Systems Universidade Estadual PaulistaGroup of Automation and Integrated Systems Universidade Estadual PaulistaFAPESP: 2016/08645-9CNPq: 420850/2016-3Universidade Federal de Minas Gerais (UFMG)Federal Institute of Education Science and Technology of Minas GeraisNorwegian University of Science and TechnologyUniversidade Estadual Paulista (UNESP)Ferreira, W. M.Brandao, D. I.Guimaraes, F. G.Tedeschi, E.Marafao, F. P. [UNESP]2022-04-30T11:13:03Z2022-04-30T11:13:03Z2017-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1-6http://dx.doi.org/10.1109/COBEP.2017.825726114th Brazilian Power Electronics Conference, COBEP 2017, v. 2018-January, p. 1-6.http://hdl.handle.net/11449/23277510.1109/COBEP.2017.82572612-s2.0-85050645446Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng14th Brazilian Power Electronics Conference, COBEP 2017info:eu-repo/semantics/openAccess2022-04-30T11:13:03Zoai:repositorio.unesp.br:11449/232775Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:16:31.331707Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources |
title |
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources |
spellingShingle |
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources Ferreira, W. M. Distributed generation Genetic algorithm Microgrid Multiobjective power flow Unbalance |
title_short |
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources |
title_full |
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources |
title_fullStr |
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources |
title_full_unstemmed |
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources |
title_sort |
Multiobjective approach for power flow and unbalance control in low-voltage networks considering distributed energy resources |
author |
Ferreira, W. M. |
author_facet |
Ferreira, W. M. Brandao, D. I. Guimaraes, F. G. Tedeschi, E. Marafao, F. P. [UNESP] |
author_role |
author |
author2 |
Brandao, D. I. Guimaraes, F. G. Tedeschi, E. Marafao, F. P. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal de Minas Gerais (UFMG) Federal Institute of Education Science and Technology of Minas Gerais Norwegian University of Science and Technology Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Ferreira, W. M. Brandao, D. I. Guimaraes, F. G. Tedeschi, E. Marafao, F. P. [UNESP] |
dc.subject.por.fl_str_mv |
Distributed generation Genetic algorithm Microgrid Multiobjective power flow Unbalance |
topic |
Distributed generation Genetic algorithm Microgrid Multiobjective power flow Unbalance |
description |
This 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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-07-01 2022-04-30T11:13:03Z 2022-04-30T11:13:03Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/COBEP.2017.8257261 14th Brazilian Power Electronics Conference, COBEP 2017, v. 2018-January, p. 1-6. http://hdl.handle.net/11449/232775 10.1109/COBEP.2017.8257261 2-s2.0-85050645446 |
url |
http://dx.doi.org/10.1109/COBEP.2017.8257261 http://hdl.handle.net/11449/232775 |
identifier_str_mv |
14th Brazilian Power Electronics Conference, COBEP 2017, v. 2018-January, p. 1-6. 10.1109/COBEP.2017.8257261 2-s2.0-85050645446 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
14th Brazilian Power Electronics Conference, COBEP 2017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1-6 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129044489699328 |