Risk-Constrained Minimization of Combined Event Detection and Decision Time for Online Transient Stability Assessment

This paper addresses the problem of `quickest possible' online transient stability assessment, by minimizing decision time combined event detection that might lead to a system split and unstable generator group prediction, from real-time wide area power measurements. More importantly it does so respecting predefined probabilistic error constraints for prediction. The statistical theory optimal is applied, firstly choose threshold secondly select flexible assessment time, after using neural networks provide temporal representation data. On simulated measurements interconnected New England test York this approach between two three times faster on average than strategies based fixed times, despite having comparable rates.