Fault Line Selection Method Based on Steady-state Information Sample Entropy
Yao Wang, Hu Jing, Wu Mingjiang, Gu Min · 2025
Accurate fault line selection in low-current grounding systems is crucial for reliable power supply and system stability. Traditional methods often underperform in complex scenarios and are highly susceptible to external factors, leading to limited accuracy. This paper proposes a novel fault line selection method based on the sample entropy of steady-state information. After a fault occurs, the method collects over 10 cycles of steady-state fault current data from each busbar branch. Zero-sequence steady-state currents are calculated, superimposed, and analyzed using sample entropy to quantify signal complexity. Simulations demonstrate that this approach effectively identifies fault lines by leveraging both transient and steady-state data. It shows robustness against signal strength variations, grounding methods, line parameters, and transition resistance, significantly improving identification accuracy compared to conventional techniques.