Frequency Response Analysis to recognize inductance variation in transformer due to internal short circuit

Mehdi Bagheri, Mohammad Salay Naderi, Trevor Blackburn, B. T. Phung, Zhenyu Liu

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

11 Citations (Scopus)

Abstract

Transformer diagnosis methods have been introduced and employed to recognize transformer internal defects since many years ago. In terms of mechanical defects in transformers, turn to turn and disc to disc short circuits in transformer windings are considered as one of the main problems in transformer active part. On the other hand, Frequency Response Analysis (FRA) is considered as a robust, sensitive and high accurate method to identify transformer mechanical defects. This study has concentrated on self-inductance variation recognition due to an internal short circuit in transformer using FRA signature. A single phase 11/0.25 kV, 25 kVA transformer has been taken as test object. Frequency response of the test object was recorded for open circuit and short circuit situations. Frequency response alteration in low frequencies caused by short circuit is interpreted through mathematical calculations. Frequency response trace deviation is employed to recognize self-inductance changes due to the internal short circuit.

Original languageEnglish
Title of host publication10th International Power and Energy Conference, IPEC 2012
Pages677-681
Number of pages5
DOIs
Publication statusPublished - Dec 1 2012
Externally publishedYes
Event10th International Power and Energy Conference, IPEC 2012 - Ho Chi Minh City, Viet Nam
Duration: Dec 12 2012Dec 13 2012

Publication series

Name10th International Power and Energy Conference, IPEC 2012

Other

Other10th International Power and Energy Conference, IPEC 2012
CountryViet Nam
CityHo Chi Minh City
Period12/12/1212/13/12

Keywords

  • Flux division
  • Frequency response analysis
  • Internal short circuit
  • Transformer

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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