TOOLS FOR IMPLEMENTING A DIGITAL TWIN OF A DISTRIBUTED COMPUTER SYSTEM WITH ENERGY FACILITIES
DOI:
https://doi.org/10.34185/1991-7848.itmm.2025.01.080Keywords:
digital twin, energy system, distributed computer system, modeling, anomaly detection, forecasting, IoT, SCADA, PowerFactory, energy security.Abstract
The paper discusses approaches to the design and implementation of a digital twin of a distributed computer system containing various types of energy facilities. Considering current challenges in Ukraine’s energy sector—such as geographical dispersion, system complexity, and external risks—the relevance of digital twins for real-time modeling, monitoring, and forecasting of energy systems is substantiated. The architecture components of the digital twin of an energy network as a distributed computer system are presented. Key physical and logical components are defined, along with the software implementation tools, including platforms for electrical modeling, visualization, data storage, and analysis. Examples of digital twin implementations in global practice are provided, and a concept for adapting such solutions to the needs of Ukraine’s energy sector is proposed.
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