An efficient and robust eigenvalue method for small-signal stability assessment in parallel computers

Author

Campagnolo, Jorge M. ; Martins, Nelson ; Falcao, Djalma M.

Author_Institution

COPPE, Univ. Federal do Rio de Janeiro, Brazil

Volume

10

Issue

1

fYear

1995

fDate

2/1/1995 12:00:00 AM

Firstpage

506

Lastpage

511

Abstract

Small signal stability analysis of interconnected power systems is performed through the partial computation of the eigenvalues/eigenvectors of very large matrices. Parallel processing has already been efficiently used in this analysis. In this paper, a parallel version of the bi-iteration method and of a new hybrid method specially developed for parallel processing are introduced and their performance compared with the results obtained with the parallel lop-sided simultaneous iterations algorithm. These algorithms were implemented in an Intel iPSC/860 parallel computer with hypercubic topology. The results presented in the paper were obtained for a model of a large practical power system

Keywords

eigenvalues and eigenfunctions; hypercube networks; iterative methods; parallel algorithms; power system analysis computing; power system interconnection; power system stability; Intel iPSC/860 parallel computer; bi-iteration method; eigenvalues; eigenvectors; hypercubic topology; interconnected power systems; parallel computers; parallel lop-sided simultaneous iterations algorithm; parallel processing; robust eigenvalue method; small-signal stability assessment; Concurrent computing; Eigenvalues and eigenfunctions; Hybrid power systems; Parallel processing; Power system analysis computing; Power system interconnection; Power system modeling; Power system stability; Robustness; Stability analysis;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.373977

Filename

373977