• 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