DC Arc-Fault Detection in PV Systems Using Multistage Morphological Fault Detection Algorithm

The series and parallel arc-faults on the DC-side have different characteristics than that of the AC-side of PV systems and hence require advanced detection strategies. This paper proposes a robust, reliable technique for the detection of different types of DC arc-faults. The method uses a fault detector algorithm called the Decomposed Open-Close Alternating Sequence (DOCAS) using morphological filters. The proposed method detects the existence of an arcing fault by generating spikes at its output. The proposed method is tested for different types of series and parallel DC arc-faults under different levels of irradiance. Simulation results demonstrate that the proposed method maintains the selectivity and distinguishes changes in irradiance and load levels from series and parallel faults effectively.