Baldivieso Monasterios, P.R. orcid.org/0000-0003-1518-1177 and Konstantopoulos, G.C. (2021) Constrained control for microgrids with constant power loads. In: Proceedings of 2020 59th IEEE Conference on Decision and Control (CDC). 2020 59th IEEE Conference on Decision and Control (CDC), 14-18 Dec 2020, Jeju Island, Korea (South), Online conference. IEEE , pp. 3341-3346. ISBN 9781728174488
Abstract
This paper analyses the reachability properties of Microgrids connected to constant power loads subject to input and state constraints. Constraint requirements in microgrids are either inherent, i.e. inverter modulation indices limitations, or imposed, such as current and voltage limitation which are safety critical. In this paper, we propose an analysis of the controllability properties of a microgrid using set theoretic notions; this analysis sheds light on the constraint admissibility properties of a microgrid with constant power loads in terms of constraint satisfaction and robustness to changes in power demands. Lastly, we provide a method of recasting the original nonlinear microgrid control problem into controlling a linear system subject to bounded additive disturbances and output constraints.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Inverters; Microgrids; Orbits; Load modeling; Voltage control; Voltage measurement; Tools |
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) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council EP/S001107/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Sep 2020 08:53 |
Last Modified: | 11 Jan 2022 01:38 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/CDC42340.2020.9304345 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165190 |