• DocumentCode
    2096152
  • Title

    Impersonal Probability Assessment of Equipment Trip Probability Due to Voltage Sag

  • Author

    Wang, Ying ; Huang, Yong ; Ma, Chao ; Xiao, Xianyong

  • Author_Institution
    Coll. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
  • fYear
    2010
  • fDate
    28-31 March 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The assessment of equipment trip probability due to voltage sag is a complicated matter because of the uncertainties both from voltage sag in power systems and sensitive equipment in customer side. The uncertainties of influencing factors are difficult to determine especially the stochastic distribution of voltage tolerance of equipment. The characteristics of voltage sag are determined by sag severity indices and the probability density function of voltage tolerance of equipment is determined by maximum entropy model. An impersonal assessment method is proposed in this paper. As a case study, PC is simulated and the simulation results are compared with the current methods.
  • Keywords
    entropy; power supply quality; power system faults; probability; stochastic processes; equipment trip probability; impersonal probability assessment; maximum entropy model; probability density function; sag severity index; stochastic distribution; voltage sag; voltage tolerance; Chaos; Educational institutions; Entropy; Information technology; Probability; Programmable control; Stochastic processes; Uncertainty; Variable speed drives; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4812-8
  • Electronic_ISBN
    978-1-4244-4813-5
  • Type

    conf

  • DOI
    10.1109/APPEEC.2010.5448535
  • Filename
    5448535