• DocumentCode
    1942965
  • Title

    Adaptive wavelet neural network based harmonic estimation of single-phase systems

  • Author

    Jain, S.K. ; Saxena, D. ; Singh, S.N.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
  • fYear
    2011
  • fDate
    28-30 Sept. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Single phase systems, although, form only limited part of the total power system, harmonic pollution due to increasing proportion of power electronic based single phase nonlinear loads cannot be overlooked. Harmonic pollution introduces many operational and control related problems like increased losses, resonance, interference, protection failure, zero-crossing detection, control circuit mal-operations, etc. A novel method based on adaptive wavelet neural network (AWNN) for harmonics estimation is single-phase systems is presented in this paper. Simulation results show that proposed method gives estimation accuracy within the limits defined in IEEE 519-1992 and IEC 61000-4-7.
  • Keywords
    harmonic distortion; neural nets; pollution; power engineering computing; power supply quality; wavelet transforms; AWNN; IEEE 519-1992; adaptive wavelet neural network-based harmonic estimation; control related problems; harmonic pollution; harmonics estimation; lEe 61000-4-7; operational problems; power electronic-based single phase nonlinear loads; single-phase systems; total power system; AWNN; Artificial intelligence; neural network; nonlinear load; power quality; total harmonic distortion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Utility Exhibition on Power and Energy Systems: Issues & Prospects for Asia (ICUE), 2011 International Conference and
  • Conference_Location
    Pattaya City
  • Print_ISBN
    978-1-4673-6006-7
  • Type

    conf

  • DOI
    10.1109/ICUEPES.2011.6497764
  • Filename
    6497764