Research on fault type diagnosis method of transmission line based on multi-source information fusion of operation inspection and control platform

Abstract

Transmission lines are very susceptible to failures caused by various reasons. This has always been a problem that plagues the stable operation of the system and safe power supply. At present, most transmission line fault diagnosis methods refer to a single fault information parameter, and often only consider the zero in the fault record. Sequence current information. Therefore, this paper proposes a transmission line multi-source fault data interconnection technology based on the operation inspection management and control platform, constructs the actual waveform database and related information database of transient traveling wave current under various fault causes of transmission line, uses wavelet packet analysis to extract the fault eigenvalues of different transmission line fault types, and uses machine learning algorithm complete the fault diagnosis of multi-source information fusion. Based on the fault characteristic value of the historical tripping line in Hunan area, the simulation results show that the correctness and effectiveness of the method in this paper are verified by actual calculation examples.