Paspatis, A. orcid.org/0000-0002-3479-019X, Konstantopoulos, G. orcid.org/0000-0003-3339-6921 and Dedeoglu, S. (2021) Control design and small-signal stability analysis of inverter-based microgrids with inherent current limitation under extreme load conditions. Electric Power Systems Research, 193. 106929. ISSN 0378-7796
Abstract
A novel droop controller that ensures a desired inverter current limitation and guarantees the stable operation of inverter-based microgrids under extreme load conditions, is proposed in this paper. Opposed to existing framework-based droop controllers that align the output voltage on axis, here the inverter current is aligned on axis in order to achieve two main goals: i) limitation of the RMS value of each inverter current during transients, without a need for saturation units that guarantee only steady-state limitation and require adaptation techniques for adjusting their limits and ii) a rigorous proof of closed-loop system stability for the entire microgrid. In particular, the proposed approach significantly simplifies the stability analysis of the microgrid, since it can be investigated through a Jacobian matrix of reduced size. Simulation results are given to highlight the superiority of the proposed controller when compared to a conventional droop controller under extreme load conditions, while experimental validation in a lab-scale microgrid is also provided.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier. This is an author produced version of a paper subsequently published in Electric Power Systems Research. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Nonlinear control systems; Droop control; Microgrid; Small-signal stability analysis; Current-limiting control; Inverters |
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; EP/S031863/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Nov 2020 09:18 |
Last Modified: | 02 Feb 2022 10:37 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.epsr.2020.106929 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:168201 |