• DocumentCode
    2597507
  • Title

    Partition of the power system fault nature based on extension

  • Author

    Shi Ling-jun ; Wu Jun-ji ; Shi Zhi-ping ; Fan, Li-Fang ; Wang Hu

  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Extension provide an effective tool to correctly partition the nature of transient fault and permanent fault, reduce the number of reclosing and to improve stability. This paper presents three element models, that is not fully reflect the nature of things from the general model. Fully reflect the nature of things based on the entire model and things can be resolved conflicting extension element model. Improved the dependent function, and partition the power system fault nature. Simulation results show that partition of the power system fault nature based on the whole element modeling is more accurate than that based on the fuzzy mathematical method; Partition of the power system fault nature based on the extension transformation from model achieve the desired results, can resolve the contradictions that can not partition the power system fault nature accurately.
  • Keywords
    fuzzy set theory; power transmission faults; dependent function; extension element model; fuzzy mathematical method; permanent fault; power system fault; transient fault; Capacitance; Logic; Mathematical model; Power system faults; Power system modeling; Power system reliability; Power system stability; Power system transients; Set theory; Voltage; Dependent function; Extension logy; Extension transformation; Matter-element model; Partition of the fault nature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5347927
  • Filename
    5347927