• DocumentCode
    3090331
  • Title

    Estimation of Sensitive Equipment Disruptions Due to Voltage Sags

  • Author

    Lu, Chan-Nan ; Shen, Cheng-Chieh

  • Author_Institution
    Nat. Sun Yat-Sen Univ., Kaohsiung
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given. This paper presents a method for predicting the number of equipment disruptions due to voltage sags in a unit of time based on a concept described in IEC 61000-3-7. The proposed method uses the probabilistic distributions of system disturbance and equipment immunity indices obtained from a unified fuzzy inference engine to represent the disturbance severity and equipment susceptibility of voltage sags. It takes stochastic behavior of service performance into account in the estimation of equipment disruption. The proposed framework is also applicable if other power quality indices, such as voltage sag energy index and voltage sag severity index, are adopted. It can be used as an alternative for performing voltage sag coordination and financial analysis.
  • Keywords
    fuzzy reasoning; power apparatus; power engineering computing; power supply quality; probability; stochastic processes; IEC 61000-3-7; equipment disruption estimation; probabilistic distributions; stochastic behavior; unified fuzzy inference engine; voltage sags; Engines; Fuzzy systems; IEC standards; Performance analysis; Power quality; Stochastic processes; Voltage fluctuations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385644
  • Filename
    4275253