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Aim at problems that the similarity between series arc fault current waveform and nonlinear load currents waveform causes arc fault identification methods based on arc current to be prone to misjudgment. This paper established a unified fault criterion based on the conclusion that different types of loads that exhibit similar magnitudes of load side voltage sag during arc faults. Combined the voltage sag criterion with waveform criteria, this paper proposed a novel arc fault detection method. The method takes the load side voltage sag value exceeding the threshold as the detection start condition. After detection starts, the method identifies faults by calculating the degree of load side voltage waveform distortion using Hausdorff distance algorithm. Simulations were conducted on five different loads, setting the voltage sag threshold to 10.8V and Hausdorff distance threshold to 39.26. Test results show that the fault identification accuracy of the proposed method is 100% under the above thresholds.

Detection of Series Arcs in Low-Voltage AC Power Lines Using Load Side Voltage Sag and Waveform Similarity Comparison