• DocumentCode
    3248621
  • Title

    Probabilistic transient stability assessment based on distributed DSA computation tool

  • Author

    Zhao, Xia ; Zhou, Jiaqi

  • Author_Institution
    State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
  • fYear
    2010
  • fDate
    14-17 June 2010
  • Firstpage
    685
  • Lastpage
    690
  • Abstract
    Compared with deterministic stability assessment, probabilistic assessment can provide a more comprehensive, rational and realistic measure of system stability level and thus a deeper insight into system stability problem. However, considerable computational effort will be required to gain a reliable assessment for probabilistic analysis. This paper presents a method based on the distributed DSATools™ to speed up the computation required. Also two instability probability indices are defined as indicators of the overall system stability level and the severity of individual component fault. The proposed method and indices are implemented on a small scale distributed computation platform consisting of 1 client and 2 servers. Simulations on the IEEE 17-machine 162-bus system have verified the feasibility of the proposed method and indices to large scale probabilistic transient stability assessment.
  • Keywords
    client-server systems; power engineering computing; power system reliability; power system transient stability; probability; IEEE 162-bus system; IEEE 17-machine system; client-server systems; distributed DSA computation tool; distributed computation platform; individual component fault; power system reliability; power system stability problem; probabilistic transient stability assessment; probability indices; Distributed computing; Large-scale systems; Power measurement; Power system planning; Power system simulation; Power system stability; Power system transients; Stability analysis; Stability criteria; Transient analysis; DSATools™; Monte Carlo simulation; power system; probabilistic assessment; transient stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5720-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2010.5528324
  • Filename
    5528324