Mixed real/complex factorization [power systems]

Author

Lima, Leonardo T G ; Martins, Nelson ; Pinto, Herminio J C P

Author_Institution

Dept. of Electr. Eng., IME-Inst. Militar de Engenharia, Rio de Janeiro, Brazil

Volume

8

Issue

1

fYear

1993

fDate

2/1/1993 12:00:00 AM

Firstpage

302

Lastpage

308

Abstract

A mixed real/complex sparse matrix factorization and solution scheme applied to a large matrix problem is described. Large system eigenanalysis and frequency domain methods will directly benefit from the proposed scheme, which can reduce both memory and CPU time requirements when compared to conventional complex-only solutions. The application in hand is the small signal electromechanical stability analysis of large power systems. The savings obtained are significant considering the CPU-intensive nature of these matrix problems

Keywords

eigenvalues and eigenfunctions; frequency-domain analysis; matrix algebra; power system analysis computing; power system stability; eigenanalysis; frequency domain methods; mixed real/complex sparse matrix factorization; power systems; small signal electromechanical stability analysis; Equations; Frequency domain analysis; Power engineering and energy; Power system analysis computing; Power system modeling; Power system stability; Power systems; Sparse matrices; Stability analysis; Symmetric matrices;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.221227

Filename

221227