Jamali, M., Sadabadi, M.S., Sahoo, S. et al. (1 more author) (2024) Resilient control of power electronic converters under sensor and control input uncertainty. In: 2024 IEEE Design Methodologies Conference (DMC) Proceedings. 2024 IEEE Design Methodologies Conference (DMC), 18-20 Nov 2024, Grenoble, France. Institute of Electrical and Electronics Engineers (IEEE) ISBN 9798350355871
Abstract
This paper proposes an innovative adaptive vector current control scheme designed for power converter systems. Even with efficient upper-layer control strategies in place in modernized power grids, vulnerabilities remain at the primary control level (or device level), exposing inverter-based resources (IBRs) to cyber attacks or other forms of uncertainties. The control objective is to mitigate the destructive effects of sensor and control input uncertainty. The theoretical framework of Lyapunov theory is employed for stability analysis and to prove the uniform boundedness of the power converter closed-loop control system. Although developed for three-phase 2-level gridfollowing IBRs, the approach is broadly applicable to various power converters such as 2-level, modular multilevel converters, and solid-state transformers, as long as their dynamic models can be linearized. This makes it a versatile solution for enhancing security across a range of power electronic converter systems. Comparative simulations highlight the effectiveness and efficiency of the proposed adaptive control scheme.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in 2024 IEEE Design Methodologies Conference (DMC) Proceedings is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Adaptive control scheme; sensor and control input uncertainty; three-phase grid-following (GFL) inverterbased resources (IBRs) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Feb 2025 14:40 |
Last Modified: | 26 Feb 2025 14:40 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/dmc62632.2024.10812140 |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:223810 |
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