Transmission Line Fault Identification Based on BP Neural Network
Ran Kou, Yuhong Wang · 2019
Aiming at the nonlinear characteristics of fault signs and fault characteristics of high-voltage transmission lines, combined with fault classification methods, the BP neural network is used to identify various faults of HVDC transmission lines. In this paper, a transmission line fault identification system based on BP network is designed, which mainly relies on a series of real-time sequence information generated in the accident environment to analyze the type of fault occurrence. The simulation of PSCAD proves that the BP neural network can be effectively applied to the fault identification of transmission lines. Through the collection and analysis of existing data, the power system failure is finally determined.