Transient Stability Assessment Based on Random Forest Algorithm

A model for the power system transient stability assessment based on random forest algorithm was presented.This model combines decision trees which depend on the values of a random vector sampled independently and with the same distribution.Simulation results on the IEEE 16-generator and IEEE 50-generator test systems show the validity of the proposed method.Its assessment performance is better than decision tree,artificial neural networks,support vector machine and K nearest neighbor.