• DocumentCode
    459850
  • Title

    An Improved Adaptive Detection Method for Power Quality Improvement

  • Author

    Qian, Lewei ; Cartes, David ; Li, Hui

  • Author_Institution
    Center for Adv. Power Syst., Florida State Univ., Tallahassee, FL
  • Volume
    2
  • fYear
    2006
  • fDate
    8-12 Oct. 2006
  • Firstpage
    1067
  • Lastpage
    1072
  • Abstract
    A new adaptive detection method for harmonic selective active filter applications is proposed in this paper. This adaptive method has better convergence properties compared to common adaptive or neural network detection methods. The adaptive gains of this method can be relatively large to obtain faster convergence. The stability of the proposed method is guaranteed and its property is analyzed when compared to earlier methods. This proposed adaptive method is simple and effective in extracting fundamental and harmonic current information from load current. The extracted fundamental or harmonic currents are used as the reference signals for the power quality improvement, harmonic selective cancellation or reactive power compensation. Simulation results verify the effectiveness of this new adaptive method
  • Keywords
    power harmonic filters; reactive power control; active filter; adaptive detection; harmonic current information; harmonic selective cancellation; integral cost function; load current; neural network detection; power quality improvement; reactive power compensation; Active filters; Adaptive systems; Convergence; Data mining; Neural networks; Power harmonic filters; Power quality; Power system harmonics; Reactive power; Stability analysis; Active Filter; Adaptive Detection; Harmonic Selective Cancellation; Integral Cost Function; Reactive Power Compensation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2006. 41st IAS Annual Meeting. Conference Record of the 2006 IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    0197-2618
  • Print_ISBN
    1-4244-0364-2
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/IAS.2006.256656
  • Filename
    4025342