Mapping Detection Of DC Series Arc Fault Based on Fast Fourier Transform

The increasing use of photovoltaic systems as renewable energy is also required to increase safety due to the hazards posed, one of which is DC arc fault. An arc is a spark caused by the release of energy from a conductive wire. DC arc fault generates heat that can damage the insulation of the wire so that it can create a fire hazard and damage the photovoltaic (PV) and surrounding objects. Limitations in monitoring all wiring routes are an obstacle in early detection of arc faults. Series arc interference is characterized by a high frequency component in the signal system. Fast Fourier Transform (FFT) is used to convert signals in the time domain to the frequency domain. The results of this FFT calculation detect the appearance of high frequency components in the system flow, then the data of each magnitude is used to identify the disturbance and determine its location. This research is built on PSIM simulation with 4 PV 200 WP where the system is connected in series using a resistive load. The controlled voltage is used as a component of the arc generator. FFT analysis was carried out on MATLAB software so that harmonic values were obtained when there was a DC series arc fault at different locations. This harmonic value is observed so that it is used as a parameter to determine the location of the disturbance.