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

Journal Article · Thu Aug 01 00:00:00 EDT 1996 · IEEE Transactions on Power Systems

DOI:https://doi.org/10.1109/59.535594· OSTI ID:389999

Campagnolo, J M; Falcao, D M ^[1]; Martins, N ^[2]

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1. COPPE/UFRJ, Rio de Janeiro (Brazil)
2. CEPEL, Rio de Janeiro (Brazil)

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.

• OSTI ID: 389999
• Report Number(s): CONF-950727-; ISSN 0885-8950; TRN: IM9646%%284
• Journal Information: IEEE Transactions on Power Systems, Vol. 11, Issue 3; Conference: 1995 IEEE Power Engineering Society summer meeting, Portland, OR (United States), 23-27 Jul 1995; Other Information: PBD: Aug 1996
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
INTERCONNECTED POWER SYSTEMS
STABILITY
OSCILLATIONS
MESH GENERATION
ANALYTICAL SOLUTION