• DocumentCode
    22808
  • Title

    The Fokker-Planck Equation for Power System Stability Probability Density Function Evolution

  • Author

    Keyou Wang ; Crow, Mariesa L.

  • Author_Institution
    Dept. of Electr. Eng., Shanghai JiaoTong Univ., Shanghai, China
  • Volume
    28
  • Issue
    3
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    2994
  • Lastpage
    3001
  • Abstract
    This paper presents an analysis of the evolution of the probability density function of the dynamic trajectories of a single machine infinite bus power system. The probability density function can be used to determine the impact of random (stochastic) load perturbations on system stability. The evolution of the state probability density function over time leads to several interesting observations regarding stability regions as a function of damping parameter. The Fokker-Planck equation (FPE) is used to describe the evolution of the probability density of the states. The FPE is solved numerically using PDE solvers (such as finite difference method). Based on the results, the qualitative changes of the stationary density produce peak-like, ridge-like and other complicated shapes. Lastly, the numerical FPE solution combined with SMIB equivalent techniques lay the framework extended to the multimachine system.
  • Keywords
    damping; differential equations; numerical analysis; power system stability; probability; stochastic processes; FPE; Fokker-Planck equation; PDE solvers; SMIB equivalent techniques; damping parameter; dynamic trajectories; load perturbations; multimachine system; numerical FPE solution; power system stability probability density function evolution; single machine infinite bus power system; stability regions; Equations; Mathematical model; Numerical stability; Power system stability; Probability density function; Stability analysis; Stochastic processes; Finite difference methods; Fokker-Planck equation; power system stability; probability density function; stationary stochastic processes; stochastic differential equations;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2232317
  • Filename
    6416991