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

Trabalho apresentado em evento

Fecha

2008-12-01

Registro en:

Proceedings - 34th Annual Conference of the IEEE Industrial Electronics Society, IECON 2008, p. 2690-2695.

1553-572X

http://hdl.handle.net/11449/70670

10.1109/IECON.2008.4758383

WOS:000266229301211

2-s2.0-63149119263

http://repositorioslatinoamericanos.uchile.cl/handle/2250/3919942

Autor

Universidade Estadual Paulista (Unesp)

Universidade de São Paulo (USP)

UTFPR-CP

Institución

Universidade Paulista Júlio de Mesquita Filho (Brasil)

Resumen

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. © 2008 IEEE.