Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/346706
Type: Artigo
Title: Intelligent expert system for power quality improvement under distorted and unbalanced conditions in three-phase AC microgrids
Author: Moreira, AC
Paredes, HKM
de Souza, WA
Marafao, FP
da Silva, LCP
Abstract: This paper presents an expert system (ES) based on decoupled power/current decomposition and the k-nearest neighbor pattern recognition method to identify and choose the correct mitigation solution for power quality improvement in three-phase ac microgrids under non-sinusoidal current and voltage operations. By using power/current terms, load conformity factors and a k-nearest neighbor classifier, the proposed ES achieved 99.98% classification accuracy. Simulation studies were carried out in a PSCAD/EMTDC environment, where the IEEE 13-bus feeder test system was in a grid connected microgrid mode. The obtained results indicate that the proposed ES is robust and able to easily select an appropriate/adequate compensation solution
Subject: Sistemas especialistas (Computação)
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/TSG.2017.2771146
Address: https://ieeexplore.ieee.org/document/8100998
Date Issue: 2018
Appears in Collections:FEEC - Artigos e Outros Documentos

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