An ICT Architecture for Enabling Ancillary Services in Distributed Renewable Energy Sources Based on the SGAM Framework

Stocker, Armin and Alshawish, Ali and Bor, Martin and Vidler, John and Gouglidis, Antonios and Scott, Andrew and Marnerides, Angelos and de Meer, Hermann and Hutchison, David (2022) An ICT Architecture for Enabling Ancillary Services in Distributed Renewable Energy Sources Based on the SGAM Framework. Energy Informatics, 5 (1): 5. ISSN 2520-8942

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Abstract: Smart Grids are electrical grids that require a decentralised way of controlling electric power conditioning and thereby control the production and distribution of energy. Yet, the integration of Distributed Renewable Energy Sources (DRESs) in the Smart Grid introduces new challenges with regards to electrical grid balancing and storing of electrical energy, as well as additional monetary costs. Furthermore, the future smart grid also has to take over the provision of Ancillary Services (ASs). In this paper, a distributed ICT infrastructure to solve such challenges, specifically related to ASs in future Smart Grids, is described. The proposed infrastructure is developed on the basis of the Smart Grid Architecture Model (SGAM) framework, which is defined by the European Commission in Smart Grid Mandate M/490. A testbed that provides a flexible, secure, and low-cost version of this architecture, illustrating the separation of systems and responsibilities, and supporting both emulated DRESs and real hardware has been developed. The resulting system supports the integration of a variety of DRESs with a secure two-way communication channel between the monitoring and controlling components. It assists in the analysis of various inter-operabilities and in the verification of eventual system designs. To validate the system design, the mapping of the proposed architecture to the testbed is presented. Further work will help improve the architecture in two directions; first, by investigating specific-purpose use cases, instantiated using this more generic framework; and second, by investigating the effects a realistic number and variety of connected devices within different grid configurations has on the testbed infrastructure.

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Journal Article
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Energy Informatics
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17 Mar 2022 14:25
Last Modified:
30 Apr 2024 00:13