A set-theoretic adaptive current control design for grid-following inverter-based resources to tackle practically non-ideal control inputs

Jamali, M., Sadabadi, M.S. and Davari, M. (2025) A set-theoretic adaptive current control design for grid-following inverter-based resources to tackle practically non-ideal control inputs. IEEE Transactions on Automation Science and Engineering. ISSN 1545-5955

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Jamali, M.
  • Sadabadi, M.S.
  • Davari, M.
Copyright, Publisher and Additional Information:

© 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Automation Science and Engineering 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: Set-theoretic adaptive control; three-phase grid-following (GFL) inverter-based resources (IBRs); uncertainties; vector current control
Dates:
  • Published: 7 January 2025
  • Published (online): 7 January 2025
  • Accepted: 19 November 2024
  • Submitted: 13 October 2024
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 15:09
Last Modified: 26 Feb 2025 15:09
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: 10.1109/tase.2024.3507616
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
  • Sustainable Development Goals: Goal 13: Climate Action
Open Archives Initiative ID (OAI ID):

Export

Statistics