| Issue |
E3S Web Conf.
Volume 135, 2019
Innovative Technologies in Environmental Science and Education (ITESE-2019)
|
|
|---|---|---|
| Article Number | 01021 | |
| Number of page(s) | 8 | |
| Section | Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/201913501021 | |
| Published online | 04 December 2019 | |
Analysis of diagnostic methods and functional state monitoring of power oil transformers in electrical substations
Platov South-Russia State Polytechnic University (NPI), 132 Prosvesheniya ul., Novocherkassk 346428, Russia
* Corresponding author: lankinjohn@yandex.ru
In this paper, we analyze the methods of diagnosis and control the functional state of power oil transformers in electrical substations. Oil transformers are the most efficient converters of electrical energy, which is reflected in a higher efficiency in comparison with dry transformers. Oil transformers are designed to work with power grids in large industrial complexes where energy conversion is required to protect equipment from sudden voltage surges. The high loads associated with this work require timely diagnosis and maintenance of transformers. The article discusses the most commonly used methods for diagnosing deviations of the technical parameters of electrical substations in the process of their operation. The authors proposed a method of impedance series-parallel identification, which allows not only to determine the equivalent circuit of the power oil transformer, but also to diagnose possible malfunctions. Functional circuits of the device for impedance series-parallel identification of faults in power oil transformers have been developed.
© The Authors, published by EDP Sciences, 2019
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.