• DocumentCode
    2286653
  • Title

    A Novel Digital Signal Processing Algorithm for On-line Assessment of Power System Frequency

  • Author

    Sarkar, Arghya ; Sengupta, S.

  • Author_Institution
    MCKV Inst. of Eng., Howrah
  • fYear
    2006
  • fDate
    12-15 Dec. 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    An innovative, computationally efficient digital signal processing algorithm has been proposed to evaluate the fundamental frequency of a non-sinusoidal power system signal at every sample instant. This approach adopts backward difference approximation as second derivative FIR filter to estimate the instantaneous frequency. Besides this, an efficient square root algorithm, based on iterative Newton-Raphson inverse (NRI) method is also presented to get high accuracy in fixed point processor. The method is illustrated and evaluated in real time by means of a Texas Instruments (TI) TMS320VC5416 digital signal processor (DSP). The experimental results confirm the validity and accurate performance of the proposed approach even under slow magnitude and frequency variations.
  • Keywords
    FIR filters; Newton-Raphson method; power systems; signal processing; TMS320VC5416 digital signal processor; digital signal processing algorithm; fixed point processor; iterative Newton-Raphson inverse method; on-line assessment; power system frequency; second derivative FIR filter; square root algorithm; Digital signal processing; Digital signal processors; Finite impulse response filter; Frequency estimation; Instruments; Iterative algorithms; Iterative methods; Power systems; Signal processing; Signal processing algorithms; Backward Difference Approximation; Butterworth Filter; Frequency; Measurement; Newton-Raphson Inverse Method; Non-sinusoidal Condition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    0-7803-9772-X
  • Electronic_ISBN
    0-7803-9772-X
  • Type

    conf

  • DOI
    10.1109/PEDES.2006.344252
  • Filename
    4147959