Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System

Author

Nascimento, C.F. ; Oliveira, A.A., Jr. ; Goedtel, A. ; Silva, I.N. ; Serni, P. J A

Author_Institution

Centro de Eng., UFABC, Santo Andre, Brazil

Volume

8

Issue

1

fYear

2010

fDate

3/1/2010 12:00:00 AM

Firstpage

65

Lastpage

73

Abstract

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.

Keywords

active filters; neural nets; power engineering computing; power harmonic filters; AC controller; artificial neural network; harmonic content identification; load current; nonlinear load; single phase active power filter; single phase system; time varying waveform; Active filters; Artificial neural networks; Discrete Fourier transforms; Fast Fourier transforms; Financial advantage program; Humans; Neural networks; Power harmonic filters; Power system harmonics; RNA; Harmonics; artificial neural networks; power system;

fLanguage

English

Journal_Title

Latin America Transactions, IEEE (Revista IEEE America Latina)

Publisher

ieee

ISSN

1548-0992

Type

jour

DOI

10.1109/TLA.2010.5453948

Filename

5453948