• DocumentCode
    1317486
  • Title

    Failure Probability Analysis of Sensitive Equipment Due to Voltage Sags Using Fuzzy-Random Assessment Method

  • Author

    Xiao, Xian-Yong ; Ma, Chao ; Yang, Hong-geng ; Chen, Wu ; Li, Hua-Qiang

  • Author_Institution
    Sch. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
  • Volume
    25
  • Issue
    4
  • fYear
    2010
  • Firstpage
    2970
  • Lastpage
    2975
  • Abstract
    The impact of voltage sags on equipment is usually described by equipment failure probability, and it is in general very difficult to assess and predict because of uncertainties with both the nature of voltage sags at the power supply side and the voltage tolerance level of equipment. By defining the equipment failure event caused by voltage sags as a fuzzy-random event, a fuzzy-random assessment model incorporating those uncertainties is developed. The model is able to convert the probability problem of a fuzzy-random variable to that of a common random variable with the use of -cut set and it is thus valuable in theoretical analysis and engineering application. The validity of the developed model has been verified by Monte Carlo stochastic simulation using personal computers as the test equipment.
  • Keywords
    Monte Carlo methods; failure analysis; fuzzy set theory; power supply quality; Monte Carlo stochastic simulation; failure probability; failure probability analysis; fuzzy-random assessment method; fuzzy-random assessment model; personal computers; sensitive equipment; test equipment; voltage sags; voltage tolerance level; Failure analysis; Fuzzy systems; Monte Carlo methods; Power quality; Uncertainty; Voltage fluctuations; Voltage measurement; Equipment sensitivity; random-fuzzy variable; sensitive equipment; voltage sag;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2009.2036263
  • Filename
    5567141