Flores, DR, Markovic, U, Aristidou, P orcid.org/0000-0003-4429-0225 et al. (1 more author) (2019) Robust Converter Control Design under Time-Delay Uncertainty. In: Proceedings of the 2019 IEEE PowerTech conference. IEEE PowerTech 2019, 23-27 Jun 2019, Milan, Italy. IEEE ISBN 9781538647226
Abstract
This paper deals with the converter control design under time delay uncertainty in power systems with high share of converter-based generation. Two approaches for time delay modeling are proposed using linear fractional transformations and linear parameter-varying systems, respectively. Subsequently, two output-feedback synthesis methods are implemented based on H∞ control theory, and formulated using linear matrix inequalities: (i) a norm-bounded parametric H∞ controller; and (ii) a gain-scheduled H∞ control. These robust control principles are then employed to improve the performance of Voltage Source Converters (VSCs) under varying measurement delays. Three novel control strategies are proposed in order to redesign the conventional inner control loop and improve converter performance when dealing with measurement uncertainty. Finally, the controllers are integrated into a state-of-the-art VSC model and compared using time-domain simulations.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This conference paper is protected by copyright. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | low-inertia systems, time delay, voltage source converter (VSC), linear fractional transformation (LFT), linear parameter-varying (LPV) system, robust stability, H∞ control |
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: | 23 May 2019 12:55 |
Last Modified: | 23 Oct 2019 15:01 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/PTC.2019.8810516 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146458 |