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Durham University

Research & business

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Publication details

Cruz Victorio, M. E., Kazemtabrizi, B. & Shahbazi, M. (2019), Decentralised Real-time Optimisation of Power Management in Microgrids Using Multi-Agent Control, 9th International Conference on Power and Energy Systems. Perth, Australia, IEEE, Piscataway, NJ, 1-6.

Author(s) from Durham

Abstract

This paper presents the application of Multi-Agent systems with model predictive control for an AC microgrid, implementing real-time generation cost minimisation. The MultiAgent control is tested against heuristic optimisation methods. It is shown that the control can reduce costs without the need of a central controller and in times of the order of milliseconds, making online optimisation possible. A test microgrid and the primary control were simulated in an OPAL-RT while the secondary control developed in Java manages the system over TCP/IP.