Jamali, M. orcid.org/0000-0003-3586-8435, Meng, X. orcid.org/0000-0002-8886-1408, Sadabadi, M.S. orcid.org/0000-0002-4609-9152 et al. (1 more author) (2025) Adaptive resilient current control for grid-interactive inverters in vehicle-to-grid systems using a dynamic corrective method considering sensor data integrity manipulation. IEEE Transactions on Transportation Electrification. ISSN: 2577-4212
Abstract
This paper presents an innovative adaptive resilient vector current control scheme for three-phase grid-connected inverters in vehicle-to-grid (V2G) systems. As V2G systems advance with increasing intelligence and connectivity, cyber-physical security has become a critical concern. A particular challenge lies in data integrity issues, where attackers can manipulate measurement data within the cyber layer. To address this, the proposed control scheme mitigates the impact of false data injection targeting output inverter measurements in the control loop. By employing a dynamic corrective method to restore manipulated measurements, the proposed scheme ensures accurate tracking of output currents and maintains inverter resilience— thereby enhancing the stability of V2G systems against such malicious disruptions. Theoretical analysis based on Lyapunov theory confirms the boundedness and stability of the closed-loop control system. The results of the simulation and experiment further demonstrate the effectiveness of the proposed control methodology.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Transportation Electrification 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: | False data injection (FDI) sensor attacks; grid-connected (GC) inverters; resilient adaptive control scheme; vehicle-to-grid (V2G) systems |
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: | 30 Jul 2025 15:11 |
Last Modified: | 30 Jul 2025 16:01 |
Status: | Published online |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tte.2025.3568424 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:229846 |