Abstract
In this paper, subspace methods are applied to the identification of the dominant electromechanical oscillation modes of a large power system, using ambient data. The data are acquired by a low-voltage WAMS. Complementary techniques for the preprocessing of the measurements, and the tuning of the identification methods, are discussed. Results for the Brazilian Interconnected Power System are presented.
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