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

TL;DR

This paper introduces a hybrid measurement and model-based method to accurately identify electromechanical oscillation modes, including participation factors, from ambient data, aiding damping control design.

Contribution

A novel hybrid technique for estimating participation factors and mode shapes from ambient measurements, improving damping control strategies.

Findings

Accurately estimates modal parameters in ambient conditions.

Demonstrates the discrepancy between participation factors and mode shapes.

Facilitates better damping control design.

Abstract

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