Improving Refactored Bi-Iteration method for small signal stability analysis of large power systems

被引：0
|
作者：
Gu, HY [1 ]
Chen, C [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Elect Power Engn, Shanghai 200240, Peoples R China
来源：
POWERCON '98: 1998 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY - PROCEEDINGS, VOLS 1 AND 2 | 1998年
关键词：
large power systems; electromechanical oscillation; eigenvalue clusters; sparse eigenanalysis;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The Refactored Bi-Iteration (RBI) method converges quickly when computing eigenvalue cluster; 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.
引用
收藏
页码：1417 / 1420
页数：4
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