Traveling Wave Line Selection Method Based on Multi-terminal Information Fusion and Artificial Neural Network

The existing line selection methods are affected by complex fault characteristics, such as transition resistance, line parameters and other factors, the accuracy is not high. The traveling wave line selection protection method is not affected by the grounding mode and the above factors. A traveling wave fault line selection method based on artificial intelligence and multi-terminal information fusion is proposed. The grounding fault traveling wave selection method chooses zero- mode voltage traveling wave as the basis of time detection. The classified relative fault time array samples are obtained through fault simulation, which are input into the neural network for training. And then, the result of line selection can be obtained by inputting the unclassified samples into the network. The simulation results show that the line selection method is feasible.