Title :
Fast small-signal stability assessment using parallel processing
Author :
Campagnolo, Jorge M. ; Martins, Nelson ; Pereira, José L R ; Lima, Leonardo T G ; Pinto, Herminio J C P ; Falcão, Djalma M.
Author_Institution :
COPPE-EE, Univ. Federal de Rio de Janeiro, Brazil
fDate :
5/1/1994 12:00:00 AM
Abstract :
Small-signal stability assessment of large power systems is presently obtained on sequential computers through the partial eigenanalysis of sparse matrices. This paper describes the implementation of a power system eigenanalysis computer code, of production level, into an advanced parallel processing machine. Eigenvalues are calculated by the lop-sided simultaneous iteration algorithm implemented on a parallel computer, Intel iPSC/860. Results are presented for two practical power system models, showing the large speed-ups obtained through parallel computation
Keywords :
eigenvalues and eigenfunctions; iterative methods; parallel algorithms; parallel processing; power system analysis computing; power system stability; Intel iPSC/860; eigenanalysis computer code; lop-sided simultaneous iteration algorithm; parallel computer; parallel processing; power systems; small-signal stability assessment; Concurrent computing; Equations; Large-scale systems; Parallel processing; Power system analysis computing; Power system dynamics; Power system modeling; Power system stability; Sparse matrices; Stability analysis;
Journal_Title :
Power Systems, IEEE Transactions on
