Load shedding control strategy based on transient instability evaluation of power system using artificial neural network and analytic hierarchy process algorithm

This paper proposed a new model of emergency controls load shedding based on the fast identification of the unstable state of the power system. K-means clustering algorithm divided the instability mode into the clusters. The results of analysis of this cluster were used as the basis for classification control.