Title :
Harmonic Detection Based on Artificial Neural Networks for Current Distortion Compensation
Author :
Nascimento, Claudionor F. ; Oliveira, Azauri A., Jr. ; Goedtel, Alessandro ; Silva, Ivan N. ; Monteiro, Jose R B A ; Aguiar, Manoel L.
Author_Institution :
Univ. of Sao Paulo, Sao Paulo
Abstract :
In this paper a method for the determination of part of the current harmonic components for the selective compensation harmonic by single-phase active power filter is presented. The non-linear load is composed by an AC controller with variable resistive load. The first six components are identified through artificial neural network. The effectiveness of the proposed method and its application in the single-phase active power filters with selective harmonic compensation are verified. Simulation results are presented to validate the proposed approach.
Keywords :
active filters; harmonic distortion; neural nets; power engineering computing; power harmonic filters; AC controller; artificial neural networks; current distortion compensation; current harmonic detection; nonlinear load; single-phase active power filter; Active filters; Artificial neural networks; Control systems; Discrete Fourier transforms; Environmentally friendly manufacturing techniques; Frequency domain analysis; Harmonic distortion; Power harmonic filters; Power system harmonics; Signal processing;
Conference_Titel :
Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on
Conference_Location :
Vigo
Print_ISBN :
978-1-4244-0754-5
Electronic_ISBN :
978-1-4244-0755-2
DOI :
10.1109/ISIE.2007.4375067
