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

• Published in: IEEE transactions on power systems Vol. 10; no. 1; pp. 506 - 511
• Main Authors: Campagnolo, J.M., Martins, N., Falcao, D.M.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: New York, NY IEEE 01-02-1995; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Concurrent computing; Eigenvalues and eigenfunctions; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Hybrid power systems; Parallel processing; Power networks and lines; Power system analysis computing; Power system interconnection; Power system modeling; Power system stability; Robustness; Stability analysis; Theory. Simulation
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/59.373977

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.< >