• DocumentCode
    2002667
  • Title

    The uncertainty assessment of sensitive equipment voltage sags ride-through ability based on maximum hybrid entropy

  • Author

    Da Yang ; Ying Wang ; Xianyong Xiao ; Wei Xu

  • fYear
    2012
  • fDate
    15-20 Sept. 2012
  • Firstpage
    2022
  • Lastpage
    2029
  • Abstract
    Considering the normal operation possibility of the equipment and severity after fault in the process of equipment sensitivity evaluation, this paper focuses on the uncertainty happening in the actual event, and chooses entropy as the measure and then creates maximum hybrid entropy evaluation model. Based on this model, it can obtain the probability distribution and the membership with least subjective assumption. According to various uncertainty included in different sensitive events and their weight, it can get the total equipment failure rate. Theoretical analysis has been verified by practical testing, which show that the proposed method is accurate for the practical engineering projects.
  • Keywords
    maximum entropy methods; power supply quality; probability; least subjective assumption; maximum hybrid entropy evaluation model; normal operation possibility; practical engineering projects; probability distribution; sensitive equipment voltage sags ride-through ability; total equipment failure rate; uncertainty assessment; Approximation methods; Entropy; Sensitivity; Testing; Uncertainty; Voltage fluctuations; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
  • Conference_Location
    Raleigh, NC
  • Print_ISBN
    978-1-4673-0802-1
  • Electronic_ISBN
    978-1-4673-0801-4
  • Type

    conf

  • DOI
    10.1109/ECCE.2012.6342563
  • Filename
    6342563