A Comprehensive Analysis of Electromagnetic Characteristics for DC Arc Fault Detection

With the development of DC power sources such as photovoltaics and energy storage, the arc fault detection and protection technology in DC distribution systems has become increasingly important. The electromagnetic characteristics are often used to construct arc fault detection features, and there are many influencing factors determining their detection effectiveness. In this paper, a DC arc fault experimental platform is established. Then, based on the electromagnetic features constructed by the synchronous compressed wavelet analysis method, the influences of antenna size, distance, direction, current level and electrode material on the electromagnetic characteristics are studied by controlling a single variable. Based on this, the advantages and disadvantages of electromagnetic signals to detect arc faults are analyzed, which provides an optimized reference for the method of detecting arc faults with electromagnetic signals. Through the autoregressive integral moving average model, the electromagnetic-based arc fault detection algorithm at a low sampling frequency in multiple scenes is obtained, and the detection accuracy is 96.13%, which is verified to have good performance.