Wavelet-fuzzy power quality diagnosis system with inference method based on overlap functions: case study in an AC microgrid

This work proposes a wavelet-fuzzy power quality (PQ) diagnosis method able to evaluate the PQ impact of steady-state (stationary) PQ events in alternating current (AC) microgrids considering the influence of the power level penetration. The proposed method is composed by a wavelet packet-based sign...

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Bibliographic Details
Main Author: Nolasco, Diego H. S. (author)
Other Authors: Costa, Flávio Bezerra (author), Palmeira, Eduardo Silva (author), Alves, Denis Keuton (author), Bedregal, Benjamín Rene Callejas (author), Rocha, Thiago de Oliveira Alves (author), Ribeiro, Ricardo Lúcio de Araújo (author), Silva, Juliano Costa Leal da (author)
Format: article
Language:eng
Published: 2020
Subjects:
Online Access:https://doi.org/NOLASCO, D.H.S.; COSTA, F.B.; PALMEIRA, E.S.; ALVES, D.K.; BEDREGAL, B.R.C.; ROCHA, T.O.A.; RIBEIRO, R.L.A.; SILVA, J.C.L.. Wavelet-fuzzy power quality diagnosis system with inference method based on overlap functions: case study in an ac microgrid. Engineering Applications of Artificial Intelligence, [s.l.], v. 85, p. 284-294, out. 2019. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0952197619301241?via%3Dihub#!. Acesso em: 10 ago. 2020. http://dx.doi.org/10.1016/j.engappai.2019.05.016
https://doi.org/10.1016/j.engappai.2019.05.016
Country:Brazil
Oai:oai:https://repositorio.ufrn.br:123456789/29808