Arc fault detection on load-side based on sensitive features tracking

The detection of series arc faults using fault current is difficult to overcome the influence load types, making it establish a unified criterion. In contrast, since voltage waveform point less affected by types and basically square wave shape, which provide conditions for constructing terms information, distortion on load-side caused transition edge provides position information edge, its polarity, amplitude rate change make possible distinguish from normal harmonic drop, theoretical basis load-side. Based basic analysis features, this paper proposes an method based sensitive feature tracking purpose identifying existence edges. proposed in highlights eliminating fundamental component load-side, phase areas where points may exist are used as area detection, identification achieved same direction change, finally, presence characterized through fusion. has clear physical meaning advantage being types. Compared with other similar methods, higher sensitivity stronger ability drop distortion. experimental results show that average accuracy under various loads exceeds 96%, verifies effectiveness method.