Efficient probabilistic contingency analysis through a stability measure considering wind perturbation.

The integration of stochastic wind power has accentuated a challenge for power system stability assessment. Since the power system is a time‐variant system under wind generation fluctuations, pure time‐domain simulations are difficult to provide real‐time stability assessment. As a result, the worst‐case scenario is simulated to give a very conservative assessment of system transient stability. In this study, a probabilistic contingency analysis through a stability measure method is proposed to provide a less conservative contingency analysis which covers 5‐min wind fluctuations and a successive fault. This probabilistic approach would estimate the transfer limit of a critical line for a given fault with stochastic wind generation and active control devices in a multi‐machine system. This approach achieves a lower computation cost and improved accuracy using a new stability measure and polynomial interpolation, and is feasible for online contingency analysis. [ABSTRACT FROM AUTHOR]