Automatic Generation of Data centre Digital Twins for Virtual Commissioning of their Automation Systems

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2023-01-05
Major/Subject
Mcode
Degree programme
Language
en
Pages
12
4633-4644
Series
IEEE Access, Volume 11
Abstract
Data centres are becoming an increasingly important part of our society's infrastructure. The number of data centres is growing constantly, making growing the gross level of electrical energy consumption. At the same time, the rapid spread of sophisticated electrical devices as well as other automation systems in general produces an opportunity for making data centres an attractive player in the constantly designing energy market. But for this, new advanced technologies must be applied to solve the problems of complexity and heterogeneity in various types of data centre design. A new concept, which is based on the automated generation of a digital twin (DT) system, directly from its schematic representation is presented in this paper. A DT is a virtual version of an object or system, designed to aid decision-making and virtual commissioning through simulation, machine learning, and reasoning. In the scope of current work, the IEC 61850 standard is chosen as a starting point for a multi-step generation of the DT combining simulation model and decentralized control logic. As a result, the designed DT 'clone' of an electrical system consists of the SIMULINK model of the electrical system plus the automatically generated control application (based on the IEC 61499 standard).
Description
Publisher Copyright: Author | openaire: EC/H2020/775970/EU//EN SGplusRegSys
Keywords
Automation, Data centers, Data centre, Data models, Digital Twin, Digital twins, IEC 61499, IEC 61850, Mathematical models, MATLAB, Object oriented modeling
Other note
Citation
Galkin, N, Ruchkin, M, Vyatkin, V, Yang, C W & Dubinin, V 2023, ' Automatic Generation of Data centre Digital Twins for Virtual Commissioning of their Automation Systems ', IEEE Access, vol. 11, pp. 4633-4644 . https://doi.org/10.1109/ACCESS.2023.3234804