| Issue |
E3S Web Conf.
Volume 434, 2023
4th International Conference on Energetics, Civil and Agricultural Engineering (ICECAE 2023)
|
|
|---|---|---|
| Article Number | 01026 | |
| Number of page(s) | 5 | |
| Section | Energetics | |
| DOI | https://doi.org/10.1051/e3sconf/202343401026 | |
| Published online | 12 October 2023 | |
Development of a simulation model for assessing the technical condition of transformers exploited in hydroelectric stations
1 Institute of Energy Problems, Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan
2 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, 100000 Tashkent, Uzbekistan
3 Joint Stock Company “Uzbekhydroenergo”, Tashkent, Uzbekistan
4 Tashkent State Transport University, Tashkent, Uzbekistan
* Corresponding author: odiljon.qutbidinov@bk.ru
Supplying consumers with continuous electricity is one of the urgent problems of today. The main part of electricity is produced by hydroelectric stations. The perfect operation of the main electrical equipment of hydroelectric power stations is related to the reliable operation of the electrical equipment in operation. The flawless operation of power transformers in operation at hydroelectric power stations is evaluated by their technical condition. The technical condition of power transformers is determined by their electrical and non-electrical indicator values. In this article, a simulation model for determining the value of the technical condition of power transformers in operation at hydroelectric power stations using fuzzy logic has been developed.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.