DocumentCode
122266
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
fYear
2014
fDate
8-13 June 2014
Firstpage
3201
Lastpage
3206
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
Conference_Location
Denver, CO
Type
conf
DOI
10.1109/PVSC.2014.6925616
Filename
6925616
Link To Document