FAST SMALL-SIGNAL STABILITY ASSESSMENT USING PARALLEL-PROCESSING

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 sy stem eigenanalysis computer code, of production level [1], into an adv anced parallel processing machine. Eigenvalues are calculated by the L op-sided Simultaneous Iteration algorithm implemented on a parallel co mputer Intel iPSC/860. Results are presented for two practical power s ystem models, showing the large speed-ups obtained through parallel co mputation.