• DocumentCode
    3104935
  • Title

    A derivative based instantaneous frequency tracking algorithm

  • Author

    Zhang, Chao ; Tan, Jianchen ; Kirby, Brian ; Bo, Zhiqian

  • Author_Institution
    Guangxi Univ., Manning
  • fYear
    2008
  • fDate
    1-4 Sept. 2008
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Frequency is an important parameter for power system operation and protection. A frequency-tracking algorithm is presented for its fast and accurate measurement, which combines second derivative with linear approximation based on the sinusoidal characteristics of an AC signal and supplements a posteriori error processing. A Lagrange Polynomial-Fitting technique is used to calculate the second derivative, whilst an error compensation rate and a modifying factor are introduced to increase algorithm accuracy. The remainder of the fitting polynomial is analyzed, with the samples acquired in a half cycle data window filtered by equal ratios theorem to enhance the robustness, as well as the real time performance. Matlab simulation results show that the algorithm is suitable for instantaneous power system frequency tracking with high accuracy and a certain suppression of second harmonic interference.
  • Keywords
    approximation theory; discrete Fourier transforms; interference suppression; load shedding; power system protection; Lagrange polynomial-fitting; Matlab simulation; discrete Fourier transforms; error compensation rate; frequency tracking; half cycle data window; harmonic interference suppression; linear approximation; load shedding; modifying factor; power system protection; Approximation algorithms; Frequency measurement; Linear approximation; Polynomials; Power harmonic filters; Power system harmonics; Power system measurements; Power system protection; Power system simulation; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
  • Conference_Location
    Padova
  • Print_ISBN
    978-1-4244-3294-3
  • Electronic_ISBN
    978-88-89884-09-6
  • Type

    conf

  • DOI
    10.1109/UPEC.2008.4651517
  • Filename
    4651517