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

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorGalkin, Nikolai
dc.contributor.authorYang, Chen-Wei
dc.contributor.authorBerezovskaya, Yulia
dc.contributor.authorVesterlund, Mattias
dc.contributor.authorVyatkin, Valeriy
dc.contributor.departmentLuleå University of Technology
dc.contributor.departmentRISE Research Institutes of Sweden
dc.contributor.departmentDepartment of Electrical Engineering and Automation
dc.date.accessioned2022-02-16T07:40:36Z
dc.date.available2022-02-16T07:40:36Z
dc.date.issued2022
dc.description.abstractDatacentres 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.en
dc.description.versionPeer revieweden
dc.format.extent15
dc.format.extent50-64
dc.format.mimetypeapplication/pdf
dc.identifier.citationGalkin , N , Yang , C-W , Berezovskaya , Y , Vesterlund , M & Vyatkin , V 2022 , ' On Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructures ' , IEEE Open Journal of the Industrial Electronics Society , vol. 3 , 9664236 , pp. 50-64 . https://doi.org/10.1109/OJIES.2021.3138537en
dc.identifier.doi10.1109/OJIES.2021.3138537
dc.identifier.issn2644-1284
dc.identifier.otherPURE UUID: 975b7907-cb9e-4757-a4bc-e441ce7307e4
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/975b7907-cb9e-4757-a4bc-e441ce7307e4
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85122278310&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/79167646/ELEC_Galkin_etal_On_Modelling_of_Edge_Datacentre_Microgrid_for_Participation_in_Smart_Energy_IEEE_OJIES_2022.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/113038
dc.identifier.urnURN:NBN:fi:aalto-202202161930
dc.language.isoenen
dc.publisherURSI/IEEE
dc.relation.ispartofseriesIEEE Open Journal of the Industrial Electronics Societyen
dc.relation.ispartofseriesVolume 3en
dc.rightsopenAccessen
dc.subject.keywordBiological system modeling
dc.subject.keywordMicrogrids
dc.subject.keywordRenewable energy sources
dc.subject.keywordCooling
dc.subject.keywordLoad modeling
dc.subject.keywordUninterruptible power systems
dc.subject.keywordData models
dc.titleOn Modelling of Edge Datacentre Microgrid for Participation in Smart Energy Infrastructuresen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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