A New Approach for Classification of Disturbed Trajectories

In this paper, a new approach is proposed for classifying machines into critical cluster and remaining cluster by trajectory sensitivities. Trajectory sensitivity functions of the post-fault system with respect to parameters are computed to classify the swing curves and identify the unstable mode. The method is independent of model complexity and parameters concerned. By the presented method, the trajectory sensitivities can be easily obtained by Taylor series formula using some intermediate results instead of the independent numerical integration computation method. Therefore, computing efficiency is greatly improved. Numerical simulation results for IEEE 10-machine system have shown that it can classify the critical cluster correctly and increase little extra computational burden only.