Abordagem Baseada em Redes Neurais para Identificação do Conteúdo Harmônico de Sistemas Elétricos Monofásicos (Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System)

Claudionor Francisco do Nascimento (claudionor_fr@terra.com.br)1, Azauri Albano de Oliveira (azaurijr@sel.eesc.usp.br)2, Alessandro Goedtel (agoedtel@utfpr.edu.br)3, Ivan Nunes da Silva (insilva@sel.eesc.usp.br)2, Paulo José Amaral Serni (paulojas@feb.unesp.br)4

1Universidade Federal do ABC - UFABC
2Universidade de São Paulo - USP
3Universidade Tecnológica Federal do Paraná - UTFPR
4Universidade Estadual Paulista - UNESP

This paper appears in: Revista IEEE América Latina

Publication Date: March 2010
Volume: 8,   Issue: 1 
ISSN: 1548-0992

In this paper an alternative method based on artificial neural networks is presented to determine harmonic components in the load current of a single-phase electric power system with nonlinear loads, whose parameters can vary so much in reason of the loads characteristic behaviors as because of the human intervention. The first six components in the load current are determined using the information contained in the time-varying waveforms. The effectiveness of this method is verified by using it in a single-phase active power filter with selective compensation of the current drained by an AC controller. The proposed method is compared with the fast Fourier transform.

Index Terms:
Harmonics, power system, artificial neural networks   

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