Paspatis, A.G. orcid.org/0000-0002-3479-019X and Konstantopoulos, G.C. orcid.org/0000-0003-3339-6921 (2018) SRF-based current-limiting droop controller for three-phase grid-tied inverters. In: 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018) Proceedings. 44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018), 21-23 Oct 2018, Washington DC, USA. IEEE , pp. 282-287. ISBN 978-1-5090-6684-1
Abstract
A nonlinear droop controller for three-phase gridconnected inverters that guarantees a rigorous current limitation and asymptotic stability for the closed-loop system is proposed in this paper. The proposed controller is designed using the synchronous reference frame (SRF) and can easily change its operation between the PQ-set mode, i.e. accurate regulation of real and reactive power to their reference values, and the droop control mode. Furthermore, nonlinear input-to-state stability theory is used to guarantee that the grid current remains limited below a given value under both normal and abnormal grid conditions (grid faults). Asymptotic stability for any equilibrium point of the closed-loop system is also analytically proven. The proposed control approach is verified through extended real-time simulation results of a three-phase inverter connected to both a normal and a faulty grid.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 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: | Nonlinear control; three-phase inverter; synchronous reference framework; droop control; stability analysis |
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 INNOVATE UK (TSB) 103910 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) EP/S001107/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 Aug 2018 08:42 |
Last Modified: | 29 Jan 2019 11:33 |
Published Version: | https://doi.org/10.1109/IECON.2018.8591676 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/IECON.2018.8591676 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135089 |