Digital Twin Formation Method for Distributed Generation Plants of Cyber–Physical Power Supply Systems

Yuri Bulatov, Andrey Kryukov, Andrey Batuhtin, Konstantin Suslov, Ksenia Korotkova and Denis Sidorov ()
Additional contact information
Yuri Bulatov: Department of Energy, Bratsk State University, 665730 Bratsk, Russia
Andrey Kryukov: Department of Power Supply and Electrical Engineering, Irkutsk National Research Technical University, 664074 Irkutsk, Russia
Andrey Batuhtin: Department of Energy, Transbaikal State University, 672039 Chita, Russia
Konstantin Suslov: Department of Power Supply and Electrical Engineering, Irkutsk National Research Technical University, 664074 Irkutsk, Russia
Ksenia Korotkova: Department of Energy, Bratsk State University, 665730 Bratsk, Russia
Denis Sidorov: Department of Applied Mathematics, Energy Systems Institute of Siberian Branch of Russian Academy of Sciences, 664033 Irkutsk, Russia

Mathematics, 2022, vol. 10, issue 16, 1-19

Abstract: The purpose of the study presented in the article was to develop a method for the formation of digital twins for distributed generation plants operating as part of cyber–physical power supply systems. A method of forming a digital twin for a system for automatic regulation of the voltage and rotor speed of a synchronous generator is considered. The structure of a digital twin is presented in the form of a multiply connected model using experimental data. The possibility of using a fuzzy inference system, artificial neural networks, and a genetic algorithm for solving the problem is shown. As a result of the research, neuro-fuzzy models of the elements of the distributed generation plant were obtained, which are an integral part of the digital twin. Based on the simulation results, the following conclusions were drawn: the proposed method for constructing an optimized fuzzy model gives acceptable results when compared with experimental data and shows practical applicability in constructing a digital twin. In the future, in order to simplify the model, it is necessary to solve the problem of optimizing the number of rules in the fuzzy inference system. It is also advisable to direct further research to the formation of a complete hierarchical fuzzy system that connects all elements of the digital twin.

Keywords: cyber–physical power supply systems; distributed generation plant; synchronous generator; digital twin; fuzzy model; optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/16/2886/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/16/2886/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:16:p:2886-:d:886461

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().