• DocumentCode
    1378229
  • Title

    Multimachine eigenvalue sensitivities of power system parameters

  • Author

    Wang, K.W. ; Chung, C.Y. ; Tse, C.T. ; Tsang, K.M.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech., China
  • Volume
    15
  • Issue
    2
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    741
  • Lastpage
    747
  • Abstract
    Many publications have discussed the design/tuning of controllers (e.g. PSS) to increase system damping, but the effect of general system parameters appears to be ignored. This paper enables these effects to be accurately assessed by the first and second order eigenvalue sensitivities with respect to any arbitrary system operating parameter (e.g. nodal injection, PV-voltage) or power network parameter (line impedance or transformer tap etc). Based on a highly versatile multimachine modeling technique that any practical system components (such as generators, SVC, series compensator etc) can be incorporated, the system matrix A can be expressed as a function of each system parameter of a multimachine system. The sensitivity approach is applied on an 8-machine system to discuss the system parameter effects and to take account of the range of operating condition in terms of multi-load levels by a probabilistic approach
  • Keywords
    eigenvalues and eigenfunctions; matrix algebra; power systems; sensitivity analysis; 8-machine system; PV-voltage; SVC; controllers design; controllers tuning; dynamic stability; first order eigenvalue sensitivities; generators; line impedance; multi-load levels; multimachine eigenvalue sensitivities; multimachine modeling technique; multimachine system; nodal injection; power network parameter; power system parameters; probabilistic approach; second order eigenvalue sensitivities; sensitivity approach; series compensator; system matrix; system parameter effects; transformer tap; Control systems; Damping; Eigenvalues and eigenfunctions; Equations; Impedance; Power system analysis computing; Power system dynamics; Power system modeling; Power systems; State-space methods;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.867168
  • Filename
    867168