Measurement-Based Stability Assessment

PI: 
Trudnowski, Dan
Project Status: 
Current

This research is aimed at the development of understanding and algorithms that form the basis for real-time operations and control.  Research will be conducted with the goals of (1) developing a better understanding of forced oscillations; and, (2) to compare the most recent mode-meter estimation algorithms.  

Related Publications

Xie, Ruichao, and Daniel. J Trudnowski. "Distinguishing between natural and forced oscillations using a cross-spectrum index." 2017 IEEE Power & Energy Society General Meeting (PESGM). Chicago, IL, USA: IEEE, 2017.
Agrawal, Urmila, John W Pierre, Jim Follum, Dongliang Duan, Daniel Trudnowski, and Matt Donnelly. "Locating the source of forced oscillations using PMU measurements and system model information." 2017 IEEE Power & Energy Society General Meeting (PESGM). Chicago, IL, USA: IEEE, 2017.
Dosiek, Luke, Daniel J Trudnowski, and John W Pierre. "Model order sensitivity in ARMA-based electromechanical mode estimation algorithms under ambient power system conditions." 2017 IEEE Power & Energy Society General Meeting (PESGM). Chicago, IL, USA: IEEE, 2017.