A neural networks-based method for single-phase harmonic content identification

Author

Nascimento, Claudionor F. ; Oliveira, Azauri A., Jr. ; Goedtel, Alessandro ; Silva, Ivan N. ; Suetake, Marcelo

Author_Institution

UNESP-FEB Bauru, Bauru

fYear

2008

fDate

10-13 Nov. 2008

Firstpage

2690

Lastpage

2695

Abstract

A neural method is presented in this paper to identify the harmonic components of an AC controller. The components are identified by analyzing the single-phase current waveform. The method effectiveness is verified by applying it to an active power filter (APF) model dedicated to the selective harmonic compensation. Simulation results using theoretical and experimental data are presented to validate the proposed approach.

Keywords

active filters; harmonic analysis; neural nets; power engineering computing; power filters; waveform analysis; AC controller harmonic components; APF; active power filter model; neural networks; single-phase current waveform analysis; single-phase harmonic content identification; Active filters; Artificial neural networks; Fourier series; Frequency domain analysis; Neural networks; Power harmonic filters; Power quality; Power system harmonics; Power system modeling; Power system simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE

Conference_Location

Orlando, FL

ISSN

1553-572X

Print_ISBN

978-1-4244-1767-4

Electronic_ISBN

1553-572X

Type

conf

DOI

10.1109/IECON.2008.4758383

Filename

4758383