Harmonic identification using parallel neural networks in single-phase systems

Autor(es)

do Nascimento, Claudionor Francisco ^[1] ; de Oliveira, Jr., Azauri Albano ^[2] ; Goedtel, Alessandro ^[3] ; Amaral Serni, Paulo Jose ^[4]

Afiliação do(s) autor(es)

^[1] Fed Univ ABC UFABC, CECS, BR-09210170 Santo Andre, SP - Brazil

^[2] Univ Sao Paulo USP, Dept Elect Engn, BR-13566590 Sao Carlos, SP - Brazil

^[3] Fed Univ Technol UTFPR, Dept Elect Engn, BR-86300000 Cornelio Procopio, PR - Brazil

^[4] Sao Paulo State Univ UNESP, FEB, BR-17033360 Bauru, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: APPLIED SOFT COMPUTING; v. 11, n. 2, p. 2178-2185, MAR 2011.
• Citações Web of Science: 13

Resumo

In this paper, artificial neural networks are employed in a novel approach to identify harmonic components of single-phase nonlinear load currents, whose amplitude and phase angle are subject to unpredictable changes, even in steady-state. The first six harmonic current components are identified through the variation analysis of waveform characteristics. The effectiveness of this method is tested by applying it to the model of a single-phase active power filter, dedicated to the selective compensation of harmonic current drained by an AC controller. Simulation and experimental results are presented to validate the proposed approach. (C) 2010 Elsevier B. V. All rights reserved. (AU)

• Processo FAPESP: 06/56093-3 - Dinamotor - sistema de dimensionamento inteligente automatico de motor de inducao atraves de tecnicas sensorless.
• Beneficiário: Ivan Nunes da Silva
• Modalidade de apoio: Auxílio à Pesquisa - Regular