Experiences with Dynamic Mode Decomposition for Wide-Area Mode Estimation - MSCPES 2022
Presenter: Marcelo de Castro
Paper: https://tinyurl.com/MCPES2022-DMD
Citation: M. de Castro, C. Mishra, L. Vanfretti and K.D. Jones, “Experiences with Dynamical Mode Decomposition for Wide-Area Mode Estimation,” 10th Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, Milan, Italy,May 3, 2022.
Abstract - This paper presents the authors’ experience in using the Dynamical Mode Decomposition (DMD) for estimating electromechanical oscillation modes from real synchrophasor data from the Dominion Energy system. To gain insight into the effectiveness of this approach, the results obtained from DMD on ambient data are compared against frequency domain approaches. Furthermore, the challenges in using this method are highlighted. The comparison shows that DMD is suitable for mode estimation from ambient data and should be further investigated for real world deployment within wide-area monitoring systems.
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