Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing

Schiffer, J, Aristidou, P orcid.org/0000-0003-4429-0225 and Ortega, R (2019) Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing. IEEE Transactions on Power Systems, 34 (6). pp. 4993-5001. ISSN 0885-8950

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Copyright, Publisher and Additional Information: © 2018 IEEE. This article is protected by copyright. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Power system dynamics; Generators; Estimation; Real-time systems; Power system stability; Monitoring; Heuristic algorithms; low-inertia systems; parameter estimation
Dates:
  • Published: November 2019
  • Accepted: 1 May 2019
  • Published (online): 7 May 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 May 2019 11:55
Last Modified: 28 Oct 2019 15:51
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: https://doi.org/10.1109/TPWRS.2019.2915249

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