• DocumentCode
    690621
  • Title

    Arc fault generation and detection in DC systems

  • Author

    Yang Cao ; Jing Li ; Sumner, M. ; Christopher, E. ; Thomas, David

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Nottingham, Nottingham, UK
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Arc fault are a common fault in electrical systems and can go undetected by traditional protection schemes and cause significant damage. To investigate the characteristics of arc faults in DC systems and their detection methods, an arc generation unit is described and arc characterization during initiation is investigated in this paper. Different conditions of arc current, air gap length and load inductance are considered to examine the effect on arc initiation. Arc fault detection algorithms based on spectrum analysis, Wavelet packet decomposition and current variation are then presented and discussed. Experimental results demonstrate that the presented methods can recognize the initiation of an arc.
  • Keywords
    air gaps; arcs (electric); fault diagnosis; inductance; DC system; air gap; arc current; arc fault detection algorithms; arc fault generation; load inductance; spectrum analysis; wavelet packet decomposition; Circuit faults; Electrodes; Fault detection; Testing; Transient analysis; Wavelet analysis; Wavelet packets; DC; FT; Wavelet packet decomposition; arc fault; arc fault detection; series arc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837123
  • Filename
    6837123