• DocumentCode
    135496
  • Title

    Fault factor analysis with phasor measurement units

  • Author

    Yagang Zhang ; Zengping Wang

  • Author_Institution
    State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Baoding, China
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In the researches of complex electrical engineering, efficient fault detection and localization schemes are essential to quickly detect and locate faults so that appropriate and timely corrective mitigating and maintenance actions can be taken. In this paper, under the current measurement precision of PMU, we will put forward a new type of fault detection and localization technology based on fault factor feature extraction. Lots of simulating experiments indicate that, although there are disturbances of white Gaussian stochastic noise, based on fault factor feature extraction principal, the fault detection and localization results are still accurate and reliable, which also identifies that the fault detection and localization technology has strong anti-interference ability and great redundancy.
  • Keywords
    Gaussian noise; fault location; phasor measurement; power generation faults; power generation reliability; white noise; PMU; anti-interference ability; fault detection and localization schemes; fault factor analysis; fault factor feature extraction; phasor measurement units; redundancy; white Gaussian stochastic noise; Educational institutions; Electrical fault detection; Fault detection; Feature extraction; Phasor measurement units; Power systems; EMS; Fault factor analysis; PMU; WAMS; feature extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939400
  • Filename
    6939400