• DocumentCode
    2938446
  • Title

    Morphological Operator and Rough Set Theory for Fault Line Detection

  • Author

    An Yun-zhu ; Wen Xi-shan ; Li Xun ; Xu Ying ; Long Ying-kai

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper analyses the advantages and disadvantages of fault line detection methods for neutral un-effectual grounded system at home and abroad, proposes a novel fault line detection algorithm based on morphological operator and rough set theory. Using rough set theory to amplify weak signal and morphological operator to identify the polarity of the fault zero sequence current´s first wave, it can detect the fault line. Simulation results show that this method is adaptable on condition of various fault line, fault location and transition resistance. Finally this paper analyses the fault characteristic identification method for guiding reclosing and isolating fault quickly.
  • Keywords
    power distribution faults; rough set theory; signal processing; distribution power system; fault line detection; fault zero sequence; morphological operator; neutral uneffectual grounded system; rough set theory; signal processing; transient zero-sequence current energy threshold; Circuit faults; Fault diagnosis; Grounding; Set theory; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748966
  • Filename
    5748966