Title :
Evaluation method for arc fault detection algorithms
Author :
McConnell, Stephen ; Zhan Wang ; Balog, Robert S. ; Johnson, Jamie
Author_Institution :
Texas A&M Univ., College Station, TX, USA
Abstract :
Many methods have been proposed to detect arc faults within photovoltaic systems. However, because of the dearth of data surrounding arcs that actually occur in commercial or residential PV systems, a sound method is necessary to systematically check for the effectiveness of algorithms claiming the ability to detect PV arc faults. This method should include data representing actual background PV system noise and seek to quantify the limits of the detection capability for the algorithms of interest.
Keywords :
arcs (electric); fault diagnosis; noise; photovoltaic power systems; power system faults; PV arc faults; PV system noise; arc fault detection algorithms; commercial PV systems; detection capability; photovoltaic systems; residential PV systems; Fault detection; Inverters; Noise; Signal resolution; Testing; Time-domain analysis; Time-frequency analysis; arc discharges; detection algorithms; photovoltaic systems;
Conference_Titel :
Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
Conference_Location :
Denver, CO
DOI :
10.1109/PVSC.2014.6925616