1. Efficient probabilistic contingency analysis through a stability measure considering wind perturbation
- Author
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Hua, Ke Qian, Vahidnia, Arash, Mishra, Yateendra, Ledwich, Gerard, Hua, Ke Qian, Vahidnia, Arash, Mishra, Yateendra, and Ledwich, Gerard
- Abstract
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.
- Published
- 2016