IEEE Transactions on Power Systems · 1994 · 27 citations · 14 references
ComputingComputer ScienceElectrical EngineeringParallel AlgorithmsParallel ComputingSystems AnalysisLinear AlgebraMatrix ComputationNumerical Linear AlgebraPower System StabilityPower SystemsSmall-signal AnalysisEigenvalue AlgorithmsEigenvalue ComputationParallel Eigenvalue ComputationParallel ProcessingSmall-signal StabilitySmall-signal Stability AnalysisSparse Matrix ComputationSparse Matrix Techniques
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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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