Title :
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
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;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4758383
