• DocumentCode
    2192984
  • Title

    A new algorithm for power system signal processing

  • Author

    Yang, Jun-Zhe ; Liu, Chih-Wen

  • Author_Institution
    Dept. of Electr. Eng., I-Shou Univ., Kaoshiung, Taiwan
  • fYear
    2004
  • fDate
    6-10 June 2004
  • Firstpage
    358
  • Abstract
    In power systems, many system messages hide in the voltage and current signals. Many useful applications, based on estimating the frequency, damping, and phasor of voltage and current signals, has been developed, such as load shedding, fault location, economic dispatch, and so on. Usually, the waveforms of voltage and current are not pure sine waves. Harmonics produced by power electronic equipments and DC offset caused by a fault are very often in power system signals; even the fundamental frequency also varies with the state of power system. In this paper, we present a new algorithm for power system signals. In this new algorithm, the waveform parameters include damping, amplitude, frequency and phase, which are all computed as same as those by Prony method. However, this new algorithm is more flexible than Prony method. Moreover, we can combine this new algorithm with a specific finite impulse response (FIR) window filter or discrete Fourier transform (DFT) to get better computation results. This feature is responsible for the usefulness of this algorithm applied in power systems.
  • Keywords
    FIR filters; discrete Fourier transforms; frequency estimation; power system harmonics; signal processing; DFT; FIR window filter; Prony method; discrete Fourier transform; finite impulse response window filter; frequency estimation; power system signal; power system signal processing; Damping; Discrete Fourier transforms; Fault location; Finite impulse response filter; Frequency estimation; Power system faults; Power system harmonics; Power systems; Signal processing algorithms; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2004. IEEE
  • Print_ISBN
    0-7803-8465-2
  • Type

    conf

  • DOI
    10.1109/PES.2004.1372812
  • Filename
    1372812