Disturbance Identification in Low-Voltage Direct Current Systems Based on Wavelet Transform

Low-voltage direct current (LVDC) system incorporates power electronic converters and new energy sources, which is different from traditional AC distribution systems. Identification of disturbance is crucial for system state monitoring and fault diagnosis. Firstly, this paper theoretically analyzed the transient information generated by capacitor switched on and fault process, clarifying the differences in their frequency characteristics. Secondly, wavelet decomposition and reconstruction techniques were employed to extract transient features in different frequency bands, and the classification and identification of capacitor switched on and fault disturbances were realized based on the differences in frequency characteristics. Finally, the effectiveness of the proposed method was verified through simulation.