• DocumentCode
    2534215
  • Title

    Exciter model reduction and validation for large-scale power system dynamic security assessment

  • Author

    Choi, Byoung-Kon ; Chiang, Hsiao-Dong ; Wu, Hongbin ; Li, Hua ; Yu, David C.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Wisconsin-Milwaukee, Milwaukee, WI
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Reduction of the complexity of dynamic units such as excitation systems is one of key factors for large-scale power system dynamic simulations demanding high computation speed. In this paper comprehensive AC/DC type excitation system models which are available in power industry, are simplified to first- and second-order reduced models using frequency domain based model reduction methods. The simplified exciter models are tested for a large-scale power system. The accuracy of critical clearing time (CCT) estimate of the reduced models is compared with that of original models for selected contingencies. Numerical results show that the simplified exciter models provide a fairly accurate representation of the original comprehensive models.
  • Keywords
    exciters; frequency-domain analysis; large-scale systems; power system security; AC/DC excitation system models; CCT estimation; critical clearing time; exciter model reduction; frequency domain; large-scale power system dynamic security assessment; power industry; Computational modeling; Frequency domain analysis; Large-scale systems; Power industry; Power system dynamics; Power system modeling; Power system security; Power system simulation; Reduced order systems; System testing; critical clearing time; exciter model reduction; large-scale power systems; on-line dynamic security assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596249
  • Filename
    4596249