Wu, J;
Tao, H;
Yang, F;
Boem, F;
(2024)
Distributed Data-Driven Predictive Frequency Control for Networked Microgrids.
In:
Proceedings of the 63rd Conference on Decision and Control (CDC) 2024 IEEE.
(pp. pp. 3489-3494).
IEEE
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Abstract
This paper proposes a novel distributed data-driven predictive control scheme to address the frequency control problem for Networked Microgrids (NMGs) in the presence of model uncertainty and disturbances. Firstly, the distributed data-based frequency model of NMGs is formulated according to input-output data. A suitable distributed data-driven controller is then proposed, and the convergence and stability of the system are analysed. A comparison with a model-based predictive control and with a state-of-the-art data-driven control methods is finally presented in simulation, showing the effectiveness and the ability of the proposed method to deal with a coupled frequency control problem without requiring accurate models of the system.
| Type: | Proceedings paper |
|---|---|
| Title: | Distributed Data-Driven Predictive Frequency Control for Networked Microgrids |
| Event: | 63rd Conference on Decision and Control (CDC) 2024 |
| Dates: | 16th-19th December 2024 |
| ISBN-13: | 979-8-3503-1633-9 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/CDC56724.2024.10885970 |
| Publisher version: | https://doi.org/10.1109/cdc56724.2024.10885970 |
| Language: | English |
| Additional information: | This work has been supported by the Engineering and Physical Sciences Research Council (grant reference: EP/W024411/1). For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10206774 |
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