Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 25, Issue 2, Pages 929-938Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2009.2036822
Keywords
Eigenvalues; eigenvectors; large-scale eigenvalue problems; poles; poorly-damped oscillations; power system stability; small-signal stability analysis; sparse systems; specialized eigensolvers; system oscillations; transfer functions
Categories
Funding
- EU
Ask authors/readers for more resources
Knowledge of the rightmost eigenvalues of system matrices is essential in power system small-signal stability analysis. Accurate and efficient computation of the rightmost eigenvalues, however, is a challenge, especially for large-scale descriptor systems. In this paper we present an algorithm, based on subspace accelerated Rayleigh quotient iteration (SARQI), for the automatic computation of the rightmost eigenvalues of large-scale (descriptor) system matrices. The effectiveness and robustness of the algorithm is illustrated by numerical experiments with realistic power system models, and we also show how SARQI can be used to compute eigenvalues closest to any damping ratio and repeated eigenvalues. The algorithm can be used for stability analysis in any other field of engineering.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available