To address the issue of low accuracy in identifying single-phase grounding faults and selecting fault lines in distribution networks

an innovative method based on phase voltage modal transformation and chaotic oscillators is proposed.First

modal transformation technique is employed to obtain the modal components of the voltage signals.Next

an optimized noise reduction and smoothing model is established to effectively balance the trade-off between waveform similarity and smoothness.This process not only reduces the impact of noise on the signals but also enhances the discernibility of fault features.Finally

the processed voltage modal components are input into a chaotic oscillator system to obtain the phase diagram trajectories for each line.The chaotic oscillator system captures the complex dynamic characteristics of the signals.By analyzing the texture parameters of the phase diagrams and utilizing the Euclidean distance method to assess the chaotic state of the trajectories

accurate fault line selection is achieved. Simulation results indicate that this method demonstrates strong robustness against factors such as transition resistance

fault closing angle

and noise interference

effectively improving the accuracy of fault line selection.