Open AccessDigital Twin of the Distributed Generation Plant
Author(s) -
Yuri Bulatov,
Andrey Kryukov,
Ksenia Korotkova
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/976/1/012024
Subject(s) - computer science , rotor (electric) , generator (circuit theory) , numeral system , fuzzy logic , voltage regulator , regulator , control engineering , base (topology) , control theory (sociology) , voltage , engineering , artificial intelligence , control (management) , mathematics , electrical engineering , power (physics) , biochemistry , physics , chemistry , quantum mechanics , gene , mathematical analysis
This article describes the concept of building a digital twin of the distributed generation (DG) plant operating on based on a synchronous generator with a fuzzy auto-tuning unit for automatic voltage regulator and automatic speed regulator. The structure of the digital twin is represented as a hierarchal fuzzy model built using experimental data. Programmatically implemented algorithms for optimization of term aggregations membership functions and numerals from knowledge base rules. The results of experiments on obtaining an optimized neuro-fuzzy model for regulating the generator rotor frequency are presented. The proposed algorithms can be used in further research on the construction of a digital twin of the DG plant, as well as for solving the problem of automatic regulators tuning.