| Issue |
E3S Web Conf.
Volume 139, 2019
Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2019)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/201913901023 | |
| Published online | 16 December 2019 | |
The investigation of frequency response analysis for power transformers winding condition
1 AO GK Sistemy i tekhnologii, Department of science, 600014 Vladimir, Lakina st, 8, Russian Federation
2 AO GK Sistemy i tekhnologii, Department of science, 600014 Vladimir, Lakina st, 8, Russian Federation
* Corresponding author: savelev-iv@yandex.ru
In modern electrical transmission and distribution systems, power transformers are critical components within the network. In the event that a failure occurs in service, the impact can be far reaching. The majority of mechanical deformation within power transformers is due to short circuit faults. The ageing transformer population increases the likelihood of failure so a reliable diagnostic tools required to determine the remaining life of these assets. Although, frequency response analysis (FRA) has been recently recognized as the most reliable detection tool for mechanical deformation in transformers, in the event of minor fault, the current FRA interpretation approach may not able to detect any variations between healthy and faulty FRA signatures. This paper focuses on FRA tests for power transformer and interpretation of obtained FRA signatures.
© 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.