• DocumentCode
    1756995
  • Title

    Efficient Splitting Simulation for Blackout Analysis

  • Author

    Sing-Po Wang ; Chen, Argon ; Chih-Wen Liu ; Chun-Hung Chen ; Shortle, John ; Jin-Yi Wu

  • Author_Institution
    Grad. Inst. of Ind. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    30
  • Issue
    4
  • fYear
    2015
  • fDate
    42186
  • Firstpage
    1775
  • Lastpage
    1783
  • Abstract
    The analysis of severe blackouts has become an essential part of transmission grid planning and operation. This may include evaluation of rare-event probabilities, which can be difficult to estimate. While simulation offers flexibility to model large complex systems, efficiency remains a big concern when estimating very small probabilities. This paper presents an effective simulation technique to evaluate rare-event probabilities associated with cascading blackouts in an electric grid. We test our technique on an IEEE 118-bus electric network and show that it can dramatically improve simulation efficiency. We also demonstrate that the proposed technique can effectively locate vulnerable links. These are links whose failures lead to the highest probabilities of a blackout event.
  • Keywords
    power grids; power system reliability; power system simulation; power transmission planning; probability; IEEE 118-bus electric network; cascading blackouts; electric grid; large complex systems; rare-event probabilities; severe blackouts analysis; splitting simulation; transmission grid planning; vulnerable links; Analytical models; Computational modeling; Numerical models; Power grids; Power system faults; Power system protection; Resource management; Blackout; cascading failure; rare-event probability; stochastic simulation;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2359920
  • Filename
    6913572