Flexible Fog Computing Architecture for Smart Microgrids

Authors: N. Verba; P. Rodolfo Baldivieso Monasterios; E. Morris; G. Konstantopoulos; E. Gaura; and S. McArthur

Published in:  15th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES) At: Cologne, Germany - Link

Date Published: September 2020


With an increase in the adoption of renewable energy sources and storage, microgrids and smart local energy systems have made considerable headway in recent years. The unreliable nature of renewable resources and the high costs of storage infrastructure, however, pose challenges to designers. Research in distributed control, multi-agent systems and advanced analytics can aid in improving the efficiency and reliability of microgrids. However, the integration of these services and technologies into a single system is difficult due to their isolated nature and varying preference in protocols and platforms. This paper proposes a flexible fog computing-based, distributed deployment and virtualisation architecture that solves some of the integration challenges while offering increased flexibility and scalability. This architecture is implemented and deployed on an existing UKRI-funded microgrid demonstrator and evaluated on its ability to integrate the control, energy pricing, and analytics elements as well as on the extended features it offers to the microgrid.

Keywords: Smart local energy systems, fog computing, integration, flexibility, scalability, distributed control, multi-agent systems, data to knowledge chains

Insights for EnergyREV:

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