Transient Stability Assessment of Power System Based on SVM-CNN
With the continuous expansion of power system scale,the grid connection of a large number of new energy sources,and the development of new technologies such as power electronics,the structural framework of modern power system tends to be complex and shows a strong randomness.The assessment of the transient stability of power system under random disturb-ance is becoming increasingly important.To this end,a method based on support vector machine(SVM)and convolutional neural networks(CNN)is proposed for the assessment of transient stability of power system.The experimental results show that the method outperforms traditional methods in terms of accuracy and robustness,and can effectively assess the transient stability of power system.
万方数据
维普
