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In this paper, a new technique is applied to conduct mode identificationusing ambient measurement data. The proposed hybrid measurement- andmodel-based method can accurately estimate the system state matrix in ambientconditions, the eigenvalues and eigenvectors of which readily provide all themodal knowledge including frequencies, damping ratios, mode shapes, and moreimportantly, participation factors. Numerical simulations show that theproposed technique is able to provide accurate estimation of modal knowledgefor all modes. In addition, the discrepancy between the participation factorand the mode shape is shown through a numerical example, demonstrating thatusing the mode shape may not effectively pinpoint the best location for dampingcontrol. Therefore, the proposed technique capable of estimating participationfactors may greatly facilitate designing damping controls.

Estimating Participation Factors and Mode Shapes for Electromechanical Oscillations in Ambient Conditions