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
Abstract
The increasing penetration of power-electronic-interfaced devices is expected to have a significant effect on the overall system inertia and a crucial impact on the system dynamics. In the future, the reduction of inertia will have drastic consequences on protection and real-time control and will play a crucial role in the system operation. Therefore, in a highly deregulated and uncertain environment, it is necessary for Transmission System Operators to be able to monitor the system inertia in real time. We address this problem by developing and validating an online inertia estimation algorithm. The estimator is derived using the recently proposed dynamic regressor extension and mixing procedure. The performance of the estimator is demonstrated via several test cases using the 1013-machine ENTSO-E dynamic model.
Metadata
Item Type: | Article |
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Authors/Creators: |
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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: |
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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: | 10.1109/TPWRS.2019.2915249 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145693 |