The conventional eigensystem realization algorithm with data correlation (ERA/DC) combines the impulse response or free of a structural system concept function to identify modal parameter system. Previous studies have shown that parameters systems subjected stationary white noise excitation can be estimated by ERA/DC from ambient without data. This is extended in this paper for output-only iden...

In this paper, we propose a novel approach for the data-driven characterization of power system dynamics. The developed method Extended Subspace Identification (ESI) is suitable systems with output measurements when all dynamics states are not observable. It particularly applicable dynamic identification using Phasor Measurement Units (PMUs) measurements. As in case systems, it often expensive ...