Fault routing method for distribution networks based on variational mode decomposition and chaotic oscillator

This study proposes a method for fault section identification in distribution networks based on variational mode decomposition (VMD) and chaotic oscillators to address the difficulty of effectively identifying electricalcharacteristic quantities during single-phase ground faults. First, the zero-sequence current signals of each line are processed through the VMD algorithm, yielding a series of intrinsic mode functions. Second, an excellent denoising and smoothing model is established to balance the contradictory characteristics of waveform similarity and smoothness. Optimal intrinsic mode functions are chosen to realize the smooth processing of zero-sequence current signals. Finally, the smoothened zero-sequence current signals are inputted into a chaotic oscillator system to obtain phase portraits for each line. Furthermore, the chaotic state of the phase portraits is determined by calculating the Euclidean distance of image texture parameters, enabling fault section identification. Simulations demonstrate that the proposed method is unaffected by factors such as transient resistance, fault closing angle, and noise interference, and it has a high accuracy rate for fault section identification.