Abstract
With the increasing penetration of renewable energy systems such as plug-in hybrid electric vehicles, wind and solar power into the power grid, the stochastic disturbances resulting from changes in operational scenarios, uncertainties in schedules, new demands and other mitigating factors become crucial in power system stability studies. This paper presents a new method for analyzing stochastic transient stability using the structure-preserving transient energy function. A method to integrate the transient energy function and recloser probability distribution functions is presented to provide a quantitative measure of probability of stability. The impact of geographical distribution and signal-to-noise ratio on stability is also presented.
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