Improving refactored bi-iteration method for small signal stability analysis of large power systems

Author

Hanyu, Gu ; Chen, Chen

Author_Institution

Dept. of Electr. Power Eng., Shanghai Jiaotong Univ., China

Volume

2

fYear

1998

fDate

18-21 Aug 1998

Firstpage

1417

Abstract

The refactored bi-iteration (RBI) method converges quickly when computing eigenvalue clusters of large power systems. In order to update eigenvalue estimates the RBI method needs to compute the eigenvalues of B^(k) which has very low dimension. However, the order of these eigenvalues is difficult to decide, and improper order has adverse influence on convergence. In our algorithm the eigenvalue estimates are updated directly and convergence is improved

Keywords

convergence; eigenvalues and eigenfunctions; iterative methods; oscillations; power system stability; convergence; directly updated eigenvalue estimates; eigenvalue clusters; electromechanical oscillation; large power systems; refactored bi-iteration method; small signal stability analysis; sparse eigen analysis; Clustering algorithms; Convergence; Eigenvalues and eigenfunctions; Power engineering; Power engineering computing; Power system analysis computing; Power system modeling; Power system stability; Power systems; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4754-4

Type

conf

DOI

10.1109/ICPST.1998.729320

Filename

729320