Title :
Neural network controlled shunt active filter for non linear loads
Author :
Abdel Aziz, M.M. ; Zobaa, A.F. ; Hosni, A.A.
Author_Institution :
Electr. Power Dept., Cairo Univ., Giza, Egypt
Abstract :
As industry power demand become increasingly sensitive, power quality distortion becomes a critical issue. The recent increase in nonlinear loads drawing non-sinusoidal currents has seen the introduction to manage the clean delivery of power. In this paper, a three-phase shunt active power filter (APF) using artificial neural network technique is proposed to mitigate harmonics, to compensate reactive power, to improve power factor and to remedy system unbalance. The simulation is done on a three-phase system and the results are used for comparison.
Keywords :
active filters; compensation; neural nets; power factor; power harmonic filters; power supply quality; reactive power; artificial neural network technique; industry power demand; nonlinear loads; nonsinusoidal currents; power factor; power quality distortion; reactive power compensate; three-phase shunt active power filter; Active filters; Artificial neural networks; Energy management; Neural networks; Power demand; Power harmonic filters; Power quality; Power system harmonics; Power system management; Reactive power; Harmonics elimination; active power filter and artificial neural network; reactive power compensation;
Conference_Titel :
Power Systems Conference, 2006. MEPCON 2006. Eleventh International Middle East
Conference_Location :
El-Minia
Print_ISBN :
978-1-4244-5111-1