A Recognition Method for Lightning Disturbance in Traction Power Supply System Based on Wavelet Energy Moment

Traction power supply system (TPSS) is an important part of the electric railway. Lightning is one of the important factors that endanger the safe operation of TPSS. The impact of lightning on TPSS can be divided into lightning fault and lightning disturbance. Due to lightning disturbance also generates high-frequency components, which cause the relay protection mistrip in traction substation. In this paper, wavelet energy moment is used to recognition lightning disturbance of TPSS. Firstly, in order to obtain transient signals of TPSS, simulation model of the TPSS is built and it simulates three kinds of transient signals, such as normal signals, lightning fault signals and lightning disturbance signals. Then the wavelet transform is used to extract the energy moments of each frequency band of the three types of signals. Thus, wavelet energy moment statistical graphs of three types of signals are obtained, the wavelet energy moment statistical graph is analyzed and its distribution characteristics are analyzed. Based on this, the lightning disturbance recognition criterion is proposed. Finally, the recognition criterion is verified by the simulation signals. The results show that the recognition method can effectively recognize the lightning disturbance signal of the TPSS.