Title :
Compensation Current of Active Power Filter Generated by Artificial Neural Network Approach
Author :
Nascimento, Claudionor F. ; Oliveira, Azauri A., Jr. ; Goedtel, Alessandro ; Silva, Ivan N.
Author_Institution :
Dept. of Electr. Eng., Sao Paulo Univ.
Abstract :
The semiconductor switches are presented in many applications and they can be considered the main source of harmonic distortion presented in the electrical power system. The use of filters - active or passive - has played an important role in order to minimize the harmonic effects injected in the power system. The proposal of this work is to present an alternative approach to estimate the harmonic content of a single-phase system with non-linear loads. It uses artificial neural networks to determine the compensation current. The system is composed of AC single-phase controllers and parallel active power filter. Simulation results are presented to validate the proposed approach
Keywords :
active filters; harmonic distortion; neural nets; power engineering computing; power harmonic filters; AC single-phase controllers; artificial neural network approach; compensation current; electrical power system; harmonic distortion; parallel active power filter; semiconductor switches; single-phase system; Active filters; Artificial neural networks; Harmonic distortion; Passive filters; Power generation; Power harmonic filters; Power semiconductor switches; Power system harmonics; Power system simulation; Proposals;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347774