• DocumentCode
    1181442
  • Title

    Stochastic evaluation of voltage sag and unbalance in transmission systems

  • Author

    Faried, Sherif Omar ; Billinton, Roy ; Aboreshaid, Saleh

  • Author_Institution
    Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, Sask., Canada
  • Volume
    20
  • Issue
    4
  • fYear
    2005
  • Firstpage
    2631
  • Lastpage
    2637
  • Abstract
    Voltage sags, also known as dips, are important to industrial reliability. This paper presents a Monte Carlo based approach to evaluate the maximum voltage sag magnitudes as well as the voltage unbalance in transmission systems. In this context, investigations have been conducted on a system model taking into consideration the uncertainty in several factors associated with the practical operation of a power system. MATLAB is used in the simulation studies.
  • Keywords
    Monte Carlo methods; power supply quality; power transmission reliability; stochastic processes; Monte Carlo based approach; stochastic evaluation; transmission systems; voltage sag; voltage unbalance; Context modeling; MATLAB; Mathematical model; Monte Carlo methods; Power quality; Power system modeling; Power system simulation; Stochastic systems; Uncertainty; Voltage fluctuations; Power quality; stochastic techniques; voltage sags; voltage unbalance;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2005.855438
  • Filename
    1514512