On-line transformer Frequency Response Analysis: Moisture and temperature influences on statistical indicators

Mehdi Bagheri, B. T. Phung, Trevor Blackburn

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

6 Citations (Scopus)

Abstract

Smart condition monitoring and diagnosis of power system apparatus is an important element of the emerging Smart Grids, and in the context of high voltage, more attention has been focused on major and expensive equipment such as transformers. This study is concerned specifically with smart transformer monitoring. The problem of statistical indicators in the course of online transformer Frequency Response Analysis (FRA) evaluation is highlighted. Off-line and on-line applications of Frequency Response Analysis (FRA) are discussed in detail. A custom-made model transformer involving concentric LV and HV windings is fabricated and used as a test object. Its temperature and moisture content are changed in a controlled manner and their impacts on FRA responses are studied. To examine a real full-sized transformer, similar procedure is performed on a three-phase two windings core type transformer as another test object. Afterwards, statistical indicators are calculated using FRA data to clarify temperature and moisture influence on them. Deviation from the reference value for these indicators is discussed.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2013
DOIs
Publication statusPublished - Dec 1 2013
Externally publishedYes
Event2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2013 - Kuala Lumpur, Malaysia
Duration: Nov 26 2013Nov 27 2013

Publication series

Name2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2013

Other

Other2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2013
CountryMalaysia
CityKuala Lumpur
Period11/26/1311/27/13

Keywords

  • Frequency response
  • Online FRA
  • Online condition monitoring
  • Smart assessment
  • Transformer

ASJC Scopus subject areas

  • Artificial Intelligence
  • Instrumentation

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    Bagheri, M., Phung, B. T., & Blackburn, T. (2013). On-line transformer Frequency Response Analysis: Moisture and temperature influences on statistical indicators. In 2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2013 [6717934] (2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2013). https://doi.org/10.1109/ICSIMA.2013.6717934