• DocumentCode
    3517605
  • Title

    Arc-fault detector algorithm evaluation method utilizing prerecorded arcing signatures

  • Author

    Johnson, Jay ; Kang, Jack

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2012
  • fDate
    3-8 June 2012
  • Abstract
    The 2011 National Electrical Code® Article 690.11 requires photovoltaic systems on or penetrating a building to include a DC arc-fault protection device. In order to satisfy this requirement, new Arc-Fault Detectors (AFDs) are being developed by multiple manufacturers including Sensata Technologies. Arc-fault detection algorithms often utilize the AC noise on the PV string to determine when arcing conditions exist in the DC system. In order to accelerate the development and testing of Sensata Technologies´ arc-fault detection algorithm, Sandia National Laboratories (SNL) provided a number of data sets. These prerecorded 10 MHz baseline and arc-fault data sets included different inverter and arc-fault noise signatures. Sensata Technologies created a data evaluation method focused on regeneration of the prerecorded arcing and baseline test data with an arbitrary function generator, thereby reducing AFD development time.
  • Keywords
    arcs (electric); invertors; photovoltaic power systems; power generation faults; power generation protection; AC noise; AFD; AFD development time reduction; DC arc-fault protection device; PV string; SNL; Sandia National Laboratories; Sensata technologies; arbitrary function generator; arc-fault data sets; arc-fault detector algorithm evaluation method; arc-fault noise signatures; baseline data sets; baseline test data regeneration; data evaluation method; frequency 10 MHz; inverter; photovoltaic systems; prerecorded arcing data regeneration; prerecorded arcing signatures; Abstracts; Circuit faults; Indexes; Inverters; Noise; Oscilloscopes; Switches; arc-fault detection; monitoring; photovoltaic systems; power system safety; series arc-faults;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Photovoltaic Specialists Conference (PVSC), 2012 38th IEEE
  • Conference_Location
    Austin, TX
  • ISSN
    0160-8371
  • Print_ISBN
    978-1-4673-0064-3
  • Type

    conf

  • DOI
    10.1109/PVSC.2012.6317856
  • Filename
    6317856