Title :
Harmonic content identification based on neural method for single phase power systems
Author :
Nascimento, Claudionor F. ; Oliveira, Azauri A., Jr. ; Goedtel, Alessandro ; Serni, Paulo J A ; da Silva, Sergio A Oliveira
Author_Institution :
CECS, Fed. Univ. of ABC - UFABC, Santo Andre, Brazil
Abstract :
An alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the single phase current waveform in time domain in half-cycle of the ac voltage source. The proposed method is compared to the fast Fourier transform. Simulation and experimental results are presented to validate the proposed approach.
Keywords :
fast Fourier transforms; neural nets; power engineering computing; power supply quality; power system harmonics; artificial neural networks; fast Fourier transform; harmonic components; harmonic content identification; neural method; nonlinear loads; single phase current waveform; single phase power systems; Artificial neural networks; Discrete Fourier transforms; Fast Fourier transforms; Fourier series; Harmonic analysis; Power harmonic filters; Power system analysis computing; Power system harmonics; Power system simulation; Voltage; Converter circuits; Harmonics; Neural network; Power quality; Single phase system;
Conference_Titel :
Power Electronics and Applications, 2009. EPE '09. 13th European Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4432-8
Electronic_ISBN :
978-90-75815-13-9
