• DocumentCode
    2111375
  • Title

    Application on the rate of lightning trip based on the grey model

  • Author

    Hua Li ; Xunjun Sun ; Lingling Li ; Fan Wu

  • Author_Institution
    Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    481
  • Lastpage
    485
  • Abstract
    Trip-out rate plays a very important role in the research of stable operation of power system, so trip-out rate forecast has become an urgent problem. combining with the characteristics of the grey theory, a catastrophe prediction model about trip-out rate was set up based on the original data. A trip-out rate threshold was established and the data exceeding it was considered abnormal. The time when the trip-out rate would appear abnormal was predicted through the original data and the model. The exception value was accurately predicted by one instance at last. It proves the validity of the prediction method. From another perspective, the gray model can improve the power supply reliability.
  • Keywords
    grey systems; lightning; power transmission lines; power transmission reliability; catastrophe prediction model; grey model; grey theory; lightning trip; power supply reliability; power system; trip-out rate forecast; trip-out rate threshold; Analytical models; Data models; Integrated circuit modeling; Lightning; Power transmission lines; Predictive models; Reliability; catastrophe forecast model; grey theory; power system; reliability; trip-out rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/FSKD.2013.6816245
  • Filename
    6816245