TY - JOUR
T1 - Online DMDc based model identification approach for transient stability enhancement using wide area measurements
AU - Isbeih, Younes
AU - Ghosh, Sudipta
AU - Elmoursi, Mohamed
AU - El-Saadany, Ehab
N1 - Funding Information:
Manuscript received December 31, 2020; revised May 1, 2021; accepted June 11, 2021. Date of publication July 2, 2021; date of current version August 19, 2021. This work was supported by the Khalifa University of Science, and Technology under Award No. [CIRA-2018-37]. Paper no. PESL-00384-2020. (Corresponding author: Mohamed Shawky El Moursi.) Younes J. Isbeih and Sudipta Ghosh are with the Department of Electrical Engineering, and Computer Science, Khalifa University of Science, and Technology, Abu Dhabi 127788, United Arab Emirates (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 1969-2012 IEEE.
PY - 2021/9
Y1 - 2021/9
N2 - This letter proposes an online control strategy to enhance the overall damping of low-frequency power system oscillations of large inter-connected electrical networks. To achieve this objective, the proposed approach employs wide area measured signals to estimate an accurate online model of power system dynamics using the dynamic mode decomposition with control (DMDc) method. The DMDc technique applies singular value decomposition (SVD) to the collected data matrices such that an accurate low-order approximation of system dynamics is obtained. The estimated model is thereafter utilized in designing the wide area damping controller (WADC) using discrete linear quadratic regulator (DLQR). Furthermore, kalman filtering is deployed to update the states of the designed controller and to remove the noise that is contained in the measured signals. The effectiveness of the proposed method is tested on the 10 machines, 39-bus New England test system.
AB - This letter proposes an online control strategy to enhance the overall damping of low-frequency power system oscillations of large inter-connected electrical networks. To achieve this objective, the proposed approach employs wide area measured signals to estimate an accurate online model of power system dynamics using the dynamic mode decomposition with control (DMDc) method. The DMDc technique applies singular value decomposition (SVD) to the collected data matrices such that an accurate low-order approximation of system dynamics is obtained. The estimated model is thereafter utilized in designing the wide area damping controller (WADC) using discrete linear quadratic regulator (DLQR). Furthermore, kalman filtering is deployed to update the states of the designed controller and to remove the noise that is contained in the measured signals. The effectiveness of the proposed method is tested on the 10 machines, 39-bus New England test system.
KW - Dynamic mode decomposition with control (DMDc)
KW - linear quadratic regulator (LQR)
KW - wide area damping controller (WADC)
UR - http://www.scopus.com/inward/record.url?scp=85112168911&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2021.3094331
DO - 10.1109/TPWRS.2021.3094331
M3 - Article
AN - SCOPUS:85112168911
SN - 0885-8950
VL - 36
SP - 4884
EP - 4887
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 5
M1 - 9473024
ER -