• DocumentCode
    1473387
  • Title

    Power system equilibrium tracing and bifurcation detection based on the continuation of the recursive projection method

  • Author

    Fan, M.H. ; Wang, C.S. ; Ajjarapu, Venkataramana

  • Author_Institution
    Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
  • Volume
    6
  • Issue
    3
  • fYear
    2012
  • fDate
    3/1/2012 12:00:00 AM
  • Firstpage
    199
  • Lastpage
    206
  • Abstract
    This study presents the continuation scheme of the recursive projection method (RPM) for power system equilibrium tracing and bifurcation detection using time-domain simulation code (TDSC). For a given operational condition, a basic RPM algorithm has been demonstrated to be very effective to extract power system steady-state and small-signal stability information from TDSC. It is now combined with arc-length continuation technique to mitigate singularity problems when the operational parameter variations are considered. Along the equilibrium tracing path, saddle node bifurcations (SNBs) and Hopf bifurcations (HBs) can be detected conveniently from byproducts of the RPM procedure. The proposed method takes advantage of available resources and avoids full state-space linearisation and large-scale eigenspectrum computation. The significance of the proposed approach is validated by a test example on New England 39-bus system.
  • Keywords
    bifurcation; power system stability; recursive estimation; time-domain synthesis; HB; Hopf bifurcations; New England 39-bus system; RPM algorithm; SNB; TDSC; arc-length continuation technique; bifurcation detection; continuation scheme; large-scale eigenspectrum computation; operational parameter variations; power system equilibrium tracing detection; power system small-signal stability information; power system steady-state stability information; recursive projection method; saddle node bifurcations; singularity problem mitigation; state-space linearisation; time-domain simulation code;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission & Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2011.0555
  • Filename
    6171897