Valery A. Stennikov, Evgeny A. Barakhtenko, Dmitry V. Sokolov, Gleb S. Mayorov

Melentiev Energy Systems Institute SB RAS

Currently, the direction associated with the study of integrated energy systems is actively developing. This direction considers various types of systems (electricity, heat, cold, gas supply, etc.) as subsystems of a single system and allows you to get advantages over traditional approaches to the study of energy systems, in which these systems are considered independently of each other. The article proposes a methodical approach to organizing a single information space for solving the problems of developing integrated energy systems in the form of a single software platform. This approach includes the following components: platform building principles; platform architecture; technologies and development tools for platform implementation; the basic structure of the library of software components, their interfaces and integration mechanisms into the platform. In the process of building a software system, it is proposed to use ontologies that are used to solve the following problems: automatic integration of software components into the AnyLogic software environment; automated construction of a software system for solving the problem of managing the development of integrated energy systems; application of the software platform in solving practical problems. In accordance with the proposed methodological approach, a software platform prototype has been implemented. The solution of the problem of development is demonstrated on the example of the scheme of an integrated energy system. The results of a computational experiment on a test circuit of an integrated energy system, which was carried out using the developed software prototype, are presented. As a result of the experiment performed on the developed multi-agent model, it was possible to form the optimal scheme of an integrated energy system for power supply to consumers, taking into account system conditions and limitations.

integrated energy systems, multi-agent approach, software platform, ontologies, modeling