dc.creator | Marques, Roberta Carvalho | |
dc.creator | Paschoareli Junior, Dionizio | |
dc.date.accessioned | 2021-08-08T23:39:03Z | |
dc.date.available | 2021-08-08T23:39:03Z | |
dc.date.submitted | 2021-05-18 | |
dc.identifier.uri | http://repositorio.ufsm.br/handle/1/21793 | |
dc.language | eng | por |
dc.relation.ispartof | SEPOC 2021 | por |
dc.rights | Acesso Aberto | por |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | voltage unbalance | eng |
dc.subject | artificial neural networks | eng |
dc.subject | OpenDSS | eng |
dc.title | Detection of Voltage Unbalance in Microgrids using Artificial Neural Networks | por |
dc.type | Trabalho Publicado em Evento | por |
dc.description.resumo | This work proposes a methodology for detecting voltage imbalance using the OpenDSS software and its COM interface. The proposal is to detect voltage imbalance using the communication between OpenDSS and MATLAB through a Perceptron Multilayer Artificial Neural Network. For that, tests were carried out in a distribution network with distributed generators and energy stores. The studies were conducted on an IEEE 13 bus test system. https://doi.org/10.53316/sepoc2021.041 | por |
dc.publisher.country | Brasil | por |
dc.subject.cnpq | CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA | por |