DocumentCode
509865
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
Volume
1
fYear
2006
fDate
19-21 Dec. 2006
Firstpage
180
Lastpage
188
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference, 2006. MEPCON 2006. Eleventh International Middle East
Conference_Location
El-Minia
Print_ISBN
978-1-4244-5111-1
Type
conf
Filename
5372361
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