Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/18093
Title: | Robust converter control design under time-delay uncertainty | Authors: | Flores, David Rodriguez Markovic, Uros Aristidou, Petros Hug, Gabriela |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Keywords: | Linear parameter-varying (LPV) system;Low-inertia systems;Time delay;Voltage source converter (VSC);Linear fractional transformation (LFT);H∞ control | Issue Date: | 1-Jun-2019 | Source: | IEEE Milan PowerTech, 23-27 June 2019 | Conference: | IEEE Milan PowerTech | 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. | URI: | https://hdl.handle.net/20.500.14279/18093 | ISBN: | 9781538647226 | DOI: | 10.1109/PTC.2019.8810516 | Rights: | © IEEE | Type: | Conference Papers | Affiliation : | ETH Zurich Leeds University |
Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
File | Description | Size | Format | |
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manuscript.pdf | 519.41 kB | Adobe PDF | View/Open |
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