Title :
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
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;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729320
