Parallel-in-Time Algorithm for Large-Scale Power System Transient Stability Considering Uncertainty

This paper proposes the potential application of the Parallel-in-Time (Parareal) algorithm for power system dynamic simulation of larger and more complex future power systems. The uncertainties in future power systems continue to increase due to new elements such as power electronic-based control devices and renewable resources. The aim of this paper is to investigate large-scale time-domain simulations including the effects of stochastic perturbations and ways for its computational enhancement. To this end, this work validates the potentials of the Parareal algorithm to effectively solve stochastic differential-algebraic equations. In particular, this paper demonstrates the convergence of the Parareal algorithm in various fault scenarios and illustrates the computational enhancement of the time-domain simulation using the high-performance computing platforms. Additionally, this paper describes the benefits of stochastic power system dynamic simulations as compared to the deterministic simulations.