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Towards Interoperability of Edge Datacentre in the Energy Community with IEC 61850 Modelling
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0075-1608
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-9299-0811
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Aalto University, Department of Electrical Engineering and Automation, Espoo, Finland.ORCID iD: 0000-0002-9315-9920
2023 (English)In: IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

Green modular datacentres are a new class of datacentres which can reduce the carbon footprints of the datacentre industry which accounts for close to 1% of total energy use worldwide. Green modular datacentres can operate as a prosumer and contribute energy to the energy grid through participation in the energy market as a part of the energy community. This paper investigates the interoperability of the datacentre in the energy community by proposing an IEC 61850 Logical Device model for a green modular datacentre. The applicability of the datacentre model is demonstrated through the re-implementation of the Energy Management System of an edge datacentre installation with the proposed IEC 61850 Logical Device model and its logical implementation in IEC 61499.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023.
Series
Annual Conference of Industrial Electronics Society, ISSN 1553-572X, E-ISSN 2577-1647
Keywords [en]
Automation, Datacenter, Energy Community, IEC 61499, IEC 61850
National Category
Computer Sciences Energy Engineering
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-103551DOI: 10.1109/IECON51785.2023.10312479Scopus ID: 2-s2.0-85179521799OAI: oai:DiVA.org:ltu-103551DiVA, id: diva2:1825513
Conference
49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), Singapore, Singapore, October 16-19, 2023
Funder
EU, Horizon 2020, 775970
Note

Funder: ERA-Net Smart Energy Systems;

ISBN for host publication: 979-8-3503-3183-7 (print), 979-8-3503-3182-0 (electronic)

Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2024-01-09Bibliographically approved

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Yang, Chen-WeiGalkin, NikolaiVyatkin, Valeriy

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