Automation of Computations in Designing an Integrated Energy System Based on Its Digital Twin

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Abstract

The construction of integrated energy systems (IESs) based on traditional energy systems operating separately provides higher efficiency and reliability of energy supply to consumers. However, IESs are complex structures to design. A digital twin is a tool that allows you to combine all the tools necessary for design in a single information space. Software tools that implement the digital twin of IESs require high computational flexibility, which is due to the need to simulate a variety of equipment and involve a wide range of methods and mathematical models. Automating the construction process of a computing subsystem is a highly efficient solution for overcoming the challenges mentioned above. This paper proposes a methodological approach to automating the construction of the computing subsystem of the digital twin of an IES. The proposed approach involves using modern metaprogramming tools on a software platform to perform automated construction. During construction, the Model-Driven Engineering concept is implemented and knowledge formalized in the form of ontologies is used. The digital twin, obtained as a result of the practical application of the proposed methodological approach, enables computer and mathematical modeling of an IES in virtual space, with exploration of various configurations of its construction.

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About the authors

V. A. Stennikov

Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

Email: barakhtenko@isem.irk.ru
Russian Federation, Irkutsk

E. A. Barakhtenko

Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

Author for correspondence.
Email: barakhtenko@isem.irk.ru
Russian Federation, Irkutsk

D. V. Sokolov

Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

Email: barakhtenko@isem.irk.ru
Russian Federation, Irkutsk

G. S. Mayorov

Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences

Email: barakhtenko@isem.irk.ru
Russian Federation, Irkutsk

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2. Fig. 1. Illustration of the principle of building a software system.

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3. Fig. 2. Architecture of the software platform.

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4. Figure 3. An illustration of the integration of methods and models.

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5. Fig. 4. The content of the methodology for the automated construction of the digital twin computing subsystem.

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6. Fig. 5. The general scheme of construction of the computing subsystem of the digital twin.

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7. Fig. 6. The scheme of the power plant of the Irkutsk region.

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