• DocumentCode
    680503
  • Title

    Detection of unstable low frequency oscillations based on PMU measurements

  • Author

    Alinejad, B. ; Kazemi Karegar, H.

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran, Iran
  • fYear
    2013
  • fDate
    17-18 Dec. 2013
  • Firstpage
    13
  • Lastpage
    19
  • Abstract
    A new algorithm based on wide area measurements and Discrete Wavelet Transform (DFT) to detect the unstable low frequency power swing oscillations of synchronous generators in a power system is proposed. The PMU modules calculate and transmit the synchronized phasor values of generator voltages, currents and speed to Phasor Data Concentrators (PDC) where data are collected and analyzed. Generators rotor angle change is estimated in PDC center by means of generator speed. For each generator, the Lyapunov´s relative energy function, which is the sum of its relative potential and kinetic energy, is calculated. After that, the generator instability is determined from computing and comparing the energy stored in some decomposed levels. The method is simulated on a network containing of two generators with some simulated stable and unstable low frequency oscillations.
  • Keywords
    discrete wavelet transforms; power system measurement; rotors; synchronous generators; DFT; Lyapunov relative energy function; PMU measurements; PMU modules; discrete wavelet transform; generator instability; generator voltages; generators rotor angle; kinetic energy; phasor data concentrators; power system; synchronized phasor values; synchronous generators; unstable low frequency oscillations detection; unstable low frequency power swing oscillations; wide area measurements; Discrete wavelet transforms; Generators; Impedance; Power system stability; Relays; Rotors; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Conference (SGC), 2013
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-3039-5
  • Type

    conf

  • DOI
    10.1109/SGC.2013.6733788
  • Filename
    6733788