Harmonic identification using parallel neural networks in single-phase systems


Autoria(s): NASCIMENTO, Claudionor Francisco do; OLIVEIRA JR., Azauri Albano de; GOEDTEL, Alessandro; SERNI, Paulo Jose Amaral
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

18/10/2012

18/10/2012

2011

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.

CNPq[142128/2005-8]

CNPq[474290/2008-5]

FAPESP[06/56093-3]

Identificador

APPLIED SOFT COMPUTING, v.11, n.2, p.2178-2185, 2011

1568-4946

http://producao.usp.br/handle/BDPI/17708

10.1016/j.asoc.2010.07.017

http://dx.doi.org/10.1016/j.asoc.2010.07.017

Idioma(s)

eng

Publicador

ELSEVIER SCIENCE BV

Relação

Applied Soft Computing

Direitos

restrictedAccess

Copyright ELSEVIER SCIENCE BV

Palavras-Chave #Harmonic distortion #Neural network application #Single-phase power system #Power electronics #ACTIVE POWER FILTER #ALGORITHM #VOLTAGE #IMPLEMENTATION #Computer Science, Artificial Intelligence #Computer Science, Interdisciplinary Applications
Tipo

article

original article

publishedVersion