International Journal of Electrical Power & Energy Systems | 2021
Synchronized ambient data-based extraction of interarea modes using Hankel block-enhanced DMD
Abstract
Abstract Ambient data-driven algorithms for the extraction of electromechanical modes serve as useful and practical methods for assessing the small signal stability of power systems in real time. This paper proposes a Hankel block-enhanced dynamic mode decomposition (HeDMD) based approach for the online extraction of modes from synchrophasor ambient data. To improve the ability of the dynamic mode decomposition (DMD) algorithm to capture modes from ambient data, a Hankel matrix is introduced to rearrange the measured data. With the extension function of the Hankel block, the mode frequency and damping ratio can be estimated by using only a short data window, which can effectively reduce the computation time. The performance of the proposed HeDMD method for the extraction of modes is investigated using simulated data from both the IEEE 4-generator system and the IEEE 16-generator system and by using ambient measurement data from a real power system.