On Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructures

Nikolai Galkin*, Chen-Wei Yang, Yulia Berezovskaya, Mattias Vesterlund, Valeriy Vyatkin

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
78 Downloads (Pure)

Abstract

Datacentres are becoming a sizable part of the energy system and are one of the biggest consumers of the energy grid. The so-called Green Datacentre is capable of not only consuming but also producing power, thus becoming an important kind of prosumers in the electric grid. Green datacentres consist of a microgrid with a backup uninterrupted power supply and renewable generation, e.g., using photovoltaic panels. As such, datacentres could realistically be important participants in demand / response applications. However, this requires reconsidering their currently rigid control and automation systems and the use of simulation models for online estimation of the control actions impact. This paper presents such a microgrid simulation model modelled after a real edge datacentre. A case study consumption scenario is presented for the purpose of validating the developed microgrid model against data traces collected from the green edge datacentre. Both simulation and real-time validation tests are performed to validate the accuracy of the datacentre model. Then the model is connected to the automation environment to be used for the online impact estimation and virtual commissioning purposes.
Original languageEnglish
Article number9664236
Pages (from-to)50-64
Number of pages15
JournalIEEE Open Journal of the Industrial Electronics Society
Volume3
Early online date28 Dec 2021
DOIs
Publication statusPublished - 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Biological system modeling
  • Microgrids
  • Renewable energy sources
  • Cooling
  • Load modeling
  • Uninterruptible power systems
  • Data models

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