Frequency response technique to recognize turn-To-Turn insulation deterioration in transformer winding

Mehdi Bagheri, Blagojce Stojcevski, B. T. Phung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the most important failure issues in transformers is the turn-To-Turn short circuit fault. Turn-Toturn fault can be occurred due to the inter-Turn paper insulation deterioration, or due to removing thin layer coated insulation between the winding turns. To date, there is no specific pre-determined method to find (or at least suspect) a deteriorated turn-To-Turn insulation medium before catastrophic failure. Frequency Response Analysis (FRA) as a method introduced for transformer mechanical defect recognition, may be able to recognize the turn-To-Turn fault potential and assist on this case. Hence, this study has concentrated practically on FRA capability to find turn-Toturn insulation degradation as well as inter-Turn aging rate. To this end, two different test objects are used and FRA signatures in various conditions are recorded. FRA results are provided and technically discussed.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016
Subtitle of host publicationEnglish
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages105-109
Number of pages5
ISBN (Electronic)9781509030682
DOIs
Publication statusPublished - Mar 3 2017
Event2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016 - Shanghai, China
Duration: Oct 21 2016Oct 23 2016

Conference

Conference2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016
CountryChina
CityShanghai
Period10/21/1610/23/16

Fingerprint

Transformer windings
Frequency response
Deterioration
Insulation
Short circuit currents
Aging of materials
Degradation
Defects

Keywords

  • Frequency response analysis
  • Insulation degradation
  • Transformer interturn fault

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Cite this

Bagheri, M., Stojcevski, B., & Phung, B. T. (2017). Frequency response technique to recognize turn-To-Turn insulation deterioration in transformer winding. In 2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016: English (pp. 105-109). [7871182] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPRE.2016.7871182

Frequency response technique to recognize turn-To-Turn insulation deterioration in transformer winding. / Bagheri, Mehdi; Stojcevski, Blagojce; Phung, B. T.

2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016: English. Institute of Electrical and Electronics Engineers Inc., 2017. p. 105-109 7871182.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bagheri, M, Stojcevski, B & Phung, BT 2017, Frequency response technique to recognize turn-To-Turn insulation deterioration in transformer winding. in 2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016: English., 7871182, Institute of Electrical and Electronics Engineers Inc., pp. 105-109, 2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016, Shanghai, China, 10/21/16. https://doi.org/10.1109/ICPRE.2016.7871182
Bagheri M, Stojcevski B, Phung BT. Frequency response technique to recognize turn-To-Turn insulation deterioration in transformer winding. In 2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016: English. Institute of Electrical and Electronics Engineers Inc. 2017. p. 105-109. 7871182 https://doi.org/10.1109/ICPRE.2016.7871182
Bagheri, Mehdi ; Stojcevski, Blagojce ; Phung, B. T. / Frequency response technique to recognize turn-To-Turn insulation deterioration in transformer winding. 2016 IEEE International Conference on Power and Renewable Energy, ICPRE 2016: English. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 105-109
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