By Topic

Assessing eigenvalue sensitivities [power system control simulation]

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
E. E. Souza Lima ; Dipt. de Eng. Eletrica, Brasilia Univ., Brazil ; L. F. De Jesus Fernandes

The motivation for this paper is the fact that in practice, the parameters of a power system are only approximately known. The paper discusses the sensitivity of eigenvalues in terms of state matrix entry changes (model uncertainty) and parameter changes (parameter uncertainty). The concepts of asymptotic stability robustness for model and parameter uncertainty are presented. Two indexes derived from eigenvalue sensitivity matrices are suggested to measure eigenvalue sensitivity and asymptotic small-signal stability robustness. As an example, the sensitivities of the electromechanical modes of a 9-machine system are analyzed. The results show lack of asymptotic stability robustness for both model and parameter uncertainties. The paper shows that lack of asymptotic stability robustness is a trend of actual multimachine power systems because too small stability margins and large eigenvalue sensitivities occur simultaneously

Published in:

IEEE Transactions on Power Systems  (Volume:15 ,  Issue: 1 )