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
Link To Document :
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