Automated dry-Type transformer aging evaluation: A simulation study

Ilyas Soltanbayev, Radkhan Sarmukhanov, Sanzhar Kazymov, Talgat Otelgen, Mehdi Bagheri

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

6 Citations (Scopus)

Abstract

Transformer operation conditions are quite crucial for industry as they have significant influence on transformer remained lifetime. This influence becomes even more significant once transformer operates at high ambient temperature. Hence, development of an intelligent system that able to monitor the effect of environmental conditions on remained lifetime together with aging rate, and provide information in real time is substantial. This study is focused on an online system forecasting transformer aging rate and remained life. To evaluate the proposed model, simulation results are compared to calculations proposed by IEC standards. Moreover, system's behavior under real life conditions is analyzed and results suggesting possible industry enhancements are provided.

Original languageEnglish
Title of host publication2017 International Siberian Conference on Control and Communications, SIBCON 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509010806
DOIs
Publication statusPublished - Jul 31 2017
Externally publishedYes
Event2017 International Siberian Conference on Control and Communications, SIBCON 2017 - Astana, Kazakhstan
Duration: Jun 29 2017Jun 30 2017

Conference

Conference2017 International Siberian Conference on Control and Communications, SIBCON 2017
CountryKazakhstan
CityAstana
Period6/29/176/30/17

Keywords

  • Aging rate
  • Dry type transformer
  • Hot-spot temperature
  • Online monitoring system
  • Transformer efficiency

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Optimization
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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