• DocumentCode
    2016420
  • Title

    Estimation of power quality using Complex H Filter

  • Author

    Sahoo, H.K. ; Dash, P.K. ; Rath, N.P. ; Kant, R.

  • Author_Institution
    Dept. of EN&TC, Silicon Inst. of Technol., Bhubaneswar, India
  • fYear
    2009
  • fDate
    27-29 Dec. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The present study proposes a novel method of tracking the time varying frequency and amplitude of a distorted power frequency signal using a Complex H Filter. A new model structure is proposed for estimation of different power quality disturbances of a distorted power signal. The amplitude and of different harmonics are also estimated which shows the robustness of the filter. The performance of Complex H Filter has been compared with those of ECKF considering signals, which can represent worst case measurement and network conditions in a typical power system. State Space Representation with three states is used for estimation of amplitude and frequency in presence of white noise. Results of simulation demonstrate that under identical conditions, the performance of Complex H Filter is better compared to ECKF.
  • Keywords
    AWGN; distortion; power harmonic filters; power supply quality; state-space methods; additive white Gaussian noise; complex H filter; distorted power frequency signal; distorted power signal; power quality disturbances; power quality estimation; power system; state space representation; time varying amplitude; time varying frequency; Amplitude estimation; Distortion measurement; Frequency estimation; Power harmonic filters; Power measurement; Power quality; Power system harmonics; Power system measurements; Power system simulation; Robustness; Additive White Gaussian Noise; Complex H filter; Distorted signals; Frequency estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems, 2009. ICPS '09. International Conference on
  • Conference_Location
    Kharagpur
  • Print_ISBN
    978-1-4244-4330-7
  • Electronic_ISBN
    978-1-4244-4331-4
  • Type

    conf

  • DOI
    10.1109/ICPWS.2009.5442696
  • Filename
    5442696