• DocumentCode
    1623106
  • Title

    Polynomial approximation of the damping-ratio-based small-signal security region boundaries of power systems

  • Author

    Yang, Su ; Liu, Feng ; Zhang, De ; MEI, Shengwei ; He, Guangyu

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The small-signal security region (SSSR) is an important concept in the security analysis of power systems, especially for the problems of low-frequency oscillation. In this paper, a polynomial approximation method is proposed to construct an analytical expression of the boundaries of the damping-ratio-based small-signal security region (D-SSSR) by using the implicit function approach. Compared with the conventional small-signal security region based on the Hopf bifurcation, our method is more practical and suitable for the dispatching of power systems, since it directly depicts the weak damped boundaries in the high-dimensional parameter space. The formulations of the linear and quadratic approximation are presented in detail. The effectiveness and accuracy of the algorithm is verified through case studies on a rudimentary power system.
  • Keywords
    damping; linear programming; load distribution; polynomial approximation; power system security; power system stability; quadratic programming; D-SSSR; Hopf bifurcation; damping- ratio-based small-signal security region boundary; high-dimensional parameter space; implicit function approach; linear approximation; low-frequency oscillation; polynomial approximation method; power system dispatching; power systems; quadratic approximation; Damping; Eigenvalues and eigenfunctions; Linear approximation; Mathematical model; Polynomials; Power system stability; damping; polynomial approximation; power system; small signal stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2011 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4577-1000-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2011.6039294
  • Filename
    6039294