Proceedings of the International Scientific and Practical Conference "Young Engineers of the Fuel and Energy Complex: Developing the Energy Agenda of the Future" (EAF 2021)

Application of Intelligent Technologies for Control of Generator Sets in Power Supply Systems for Non-Traction Consumers

Authors
Yuri Bulatov1, *, Andrey Kryukov2, 3, Konstantin Suslov3, 4, Pio Lombardi5, Przemysław Komarnicki5, 6
1Department of Energy, Bratsk State University, Bratsk, Russia
2Department of Transport Electric Power, Irkutsk State Transport University, Irkutsk, Russia
3Department of Power Supply and Electrical Engineering, Irkutsk National Research Technical University, Irkutsk, Russia
4Department of Energy, Transbaikal State University, Chita, Russia
5Fraunhofer Institute for Factory Operation and Automation IFF, Magdeburg, Germany
6Department of Engineering and Industrial Design, Magdeburg-Stendal University of Applied Sciences, Magdeburg, Germany
*Corresponding author. Email: bulatovyura@yandex.ru
Corresponding Author
Yuri Bulatov
Available Online 24 March 2022.
DOI
https://doi.org/10.2991/aer.k.220308.002How to use a DOI?
Keywords
Railways; Power supply systems; Distributed generation plants; Intelligent control technologies; Fuzzy logic; Genetic algorithm; Neural network regulator
Abstract

One of the key features of the current transition of the electric power industry to the smart grid technological platform is a large-scale application of distributed generation (DG) plants. The efficient operation of such plants is not possible without the development of new approaches to the control of their generators. In modern conditions, these approaches are based on intelligent technologies. This article discusses intelligent control technologies for DG plants used in power supply systems for non-traction consumers. The purpose of this research is to assess possible effects produced by intelligent technologies in the control of DG plants. The research simulation and calculations were carried out in MATLAB. Using the fuzzy logic system, we demonstrated the operation the proposed control system for the settings of the automatic regulators of the DG plants. Determination of optimal settings of the regulators was carried out using a genetic algorithm. The results of simulating neural network regulators of DG plants are presented. The simulation results revealed that the use of intelligent control technologies for DG plants increases the control accuracy and improves control quality indicators.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the International Scientific and Practical Conference "Young Engineers of the Fuel and Energy Complex: Developing the Energy Agenda of the Future" (EAF 2021)
Series
Advances in Engineering Research
Publication Date
24 March 2022
ISBN
978-94-6239-553-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/aer.k.220308.002How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yuri Bulatov
AU  - Andrey Kryukov
AU  - Konstantin Suslov
AU  - Pio Lombardi
AU  - Przemysław Komarnicki
PY  - 2022
DA  - 2022/03/24
TI  - Application of Intelligent Technologies for Control of Generator Sets in Power Supply Systems for Non-Traction Consumers
BT  - Proceedings of the International Scientific and Practical Conference "Young Engineers of the Fuel and Energy Complex: Developing the Energy Agenda of the Future" (EAF 2021)
PB  - Atlantis Press
SP  - 7
EP  - 13
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.220308.002
DO  - https://doi.org/10.2991/aer.k.220308.002
ID  - Bulatov2022
ER  -