• 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