An Analysis of Power System Transient Stability Using Stochastic Energy Functions
This paper develops an approach to analyze the impact of stochasticity on the transient stability of a power system. The stochastic power system stability was analyzed both through the stochastic Lyapunov function and numerically using the Euler-Maruyama method. It was shown that increasing either (or both) the variance and the magnitude of the applied noise can have a destabilizing effect on the power system. This could potentially cause difficulties as more randomness is introduced into the power system through renewable energy sources and plug-in hybrid vehicles.
T. Odun-Ayo and M. Crow, "An Analysis of Power System Transient Stability Using Stochastic Energy Functions," International Transactions on Electrical Energy Systems, vol. 23, no. 2, pp. 151-165, John Wiley & Sons, Ltd., Oct 2011.
The definitive version is available at https://doi.org/10.1002/etep.646
Electrical and Computer Engineering
Keywords and Phrases
Monte Carlo; Stochastic Loads; Transient Stability
International Standard Serial Number (ISSN)
Article - Journal
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