• DocumentCode
    2064528
  • Title

    PMU-based model-free approach for short term voltage stability monitoring

  • Author

    Dasgupta, S. ; Paramasivam, M. ; Vaidya, U. ; Ajjarapu, V.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we propose a model-free approach for short term voltage stability monitoring of power system. Our data-driven approach makes use of Phasor Measurement Units (PMU) data to generate the stability certificate for verifying the voltage stability. We employ Lyapunov exponent, a stability tool adapted from ergodic theory of dynamical system, to generate the stability certificate. The time-series voltage data from PMU is used for the online computation of Lyapunov exponent. The proposed method can not only be used to determine the voltage stability of the entire system but can also be used to determine stability/instability contribution of individual buses to the overall system stability. Simulation results are presented on WSCC nine bus system using different load models.
  • Keywords
    Lyapunov methods; phasor measurement; power system control; power system dynamic stability; power system simulation; statistical mechanics; time series; voltage regulators; Lyapunov exponent; PMU-based model-free approach; WSCC nine bus system; data-driven approach; ergodic theory; load model; phasor measurement unit; power system monitoring; short term voltage stability monitoring; stability-instability contribution; time-series voltage data; Induction motors; Load modeling; Phasor measurement units; Power system stability; Stability criteria; Voltage measurement; Lyapunov exponents; Online stability monitoring; Phasor Measurement Units; Short term voltage stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345522
  • Filename
    6345522