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Real-time resilient Microgrid power management based on multi-agent systems with price forecast

Cruz-Victorio, Marcos; Kazemtabrizi, Behzad; Shahbazi, Mahmoud

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Authors

Marcos Cruz-Victorio



Abstract

Microgrids have emerged to diversify conventional electric generation using small-scale distributed generation. Large efforts have been put into designing control strategies to optimise the power schedules of microgrids, however, verification that such control systems also are reliable in terms of stability during normal operation and fault conditions is needed. This study presents a hierarchical distributed control system that fulfils these conditions for an AC microgrid. The stability maintained by proposed controller, considering the large signal model, is analysed with the use of Lyapunov's direct method. Resilient control distribution is achieved by the implementation of suitable forecast models and fault-tolerance mechanisms to avoid single points of failure. The resilience of the control system is verified with the use of graph theory. The stable and resilient operation of the proposed control system is tested by a real-time microgrid model implemented with an OPAL-RT real-time simulator, combined with a communication network built with Raspberry Pis, testing the control system presented under normal and faulty conditions. Simulation results show a stable operation in terms of voltage and frequency in both conditions, resilient operation is shown for the faulty condition case. Additionally, cost minimisation performance is included to validate optimal power management capabilities.

Journal Article Type Article
Acceptance Date Sep 20, 2022
Online Publication Date Oct 13, 2022
Publication Date Apr 16, 2023
Deposit Date Oct 14, 2022
Publicly Available Date Apr 27, 2023
Journal IET Smart Grid
Print ISSN 2515-2947
Publisher Institution of Engineering and Technology (IET)
Peer Reviewed Peer Reviewed
Volume 6
Issue 2
Pages 190-204
DOI https://doi.org/10.1049/stg2.12089
Public URL https://durham-repository.worktribe.com/output/1189031

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Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/

Copyright Statement
© 2022 The Authors. IET Smart Grid published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.






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