<p>Existing fault location methods face limitations in certain scenarios, such as ineffective detection of single-phase-to-ground faults. To address this, a rapid fault location method based on line topology and beat frequency attenuation discrimination is proposed. Using a weighted Bayesian classifier, a hierarchical topology model of the distribution network is constructed. The fault type is preliminarily identified based on current polarity and amplitude. The active current injection method is employed to determine the fault section by detecting the current polarity at the converter station outlet. The distorted fault alarm signal is corrected, and the beat frequency component is analyzed to identify the faulty line. Experimental results demonstrate that the maximum error of the proposed method is 0.04%, with calculated results showing strong agreement with actual distance measurements. The maximum distance calculation error is only 0.05&#xa0;km, with an average processing time of 2 ms, indicating favorable economy and positioning accuracy.</p>