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

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.