Casagrande, V;
Prodan, I;
Spurgeon, SK;
Boem, F;
(2022)
Resilient Distributed MPC Algorithm for Microgrid Energy Management under Uncertainties.
In:
2022 European Control Conference (ECC).
(pp. pp. 602-607).
IEEE: London, United Kingdom.
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Abstract
This paper proposes a resilient distributed energy management algorithm able to cope with different types of faults in a DC microgrid system. A distributed optimization method allows to solve the energy management problem without sharing any private data with the network and reducing the computational cost for each agent, with respect to the centralised case. A distributed MPC scheme based on distributed optimization is used to cope with uncertainty that characterizes the microgrid operation. In order to be resilient to faults that limit the amount of power available to consumers, we propose to adaptively store an amount of power in the storage systems to support the loads. A soft constraint on the minimum energy stored in each battery is introduced for feasibility and to cope with persistent faults. The effectiveness of the method is proved by extensive simulation results considering faults on three types of components: renewable generator, distribution grid and communication network.
| Type: | Proceedings paper |
|---|---|
| Title: | Resilient Distributed MPC Algorithm for Microgrid Energy Management under Uncertainties |
| Event: | 2022 European Control Conference (ECC) |
| Dates: | 12 Jul 2022 - 15 Jul 2022 |
| ISBN-13: | 9783907144077 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.23919/ECC55457.2022.9838078 |
| Publisher version: | https://doi.org/10.23919/ECC55457.2022.9838078 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Renewable energy sources, Uncertainty, Simulation, Fault detection, Optimization methods, Microgrids, Generators |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10155849 |
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