Refactored Bi-iteration: A high performance eigensolution method for large power system matrices - Discussion

被引：16

作者：

Semlyen, A ^{[1
]}

Angelidis, G ^{[1
]}

机构：

[1] PACIFIC GAS & ELECT CO,SAN FRANCISCO,CA 94106

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1996年 / 11卷 / 03期

关键词：

Large Scale Dynamic Systems; Modal Analysis; Partial Eigensolution; Power Systems; Small-Signal Stability; Sparse Matrices;

D O I：

10.1109/59.535594

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：

Small-signal stability analysis of interconnected power systems involves the computation of many eigenvalues/eigenvectors of very large unsymmetric matrices. A new numerical linear algebra method for the partial eigensolution of large sparse matrices is described in this paper. The method converges to as many eigenvalues as the number of trial vectors utilized, in a reduced number of iterations. The results presented are limited to the study of low frequency oscillations in electrical power systems, but the proposed method is completely general. © 1995 IEEE.

引用

页码：1235 / 1235

页数：1

共 34 条

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