Analytical Condition Monitoring System for Liquid-Immersed Transformers

F. Van Der Walt, W. Doorsamy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Transformers form an integral part of the electrical power grid are widely employed in a variety of power-system applications inter alia power generation and distribution systems, and arc- and induction-furnace applications. Transformers are among the most expensive components in power systems but the protection and health requirements thereof are still catered for by traditional auxiliary protective devices and cooling control systems. This paper reports the development of an IoT-based condition monitoring system that offers advanced protection and control features. The condition monitoring system is intended to directly contribute to enhancing the lifespan of the transformer by detecting fault conditions at an early stage before catastrophic failure can occur and by ensuring that the quality of the transformer's insulation is preserved for a greater period through improved cooling techniques.

Original languageEnglish
Title of host publication2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages396-401
Number of pages6
ISBN (Electronic)9781538641637
DOIs
Publication statusPublished - 2 Nov 2018
Event2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018 - Cape Town, South Africa
Duration: 26 Jun 201829 Jun 2018

Publication series

Name2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018

Conference

Conference2018 IEEE Power and Energy Society and Industrial Applications Society PowerAfrica, PowerAfrica 2018
Country/TerritorySouth Africa
CityCape Town
Period26/06/1829/06/18

Keywords

  • IoT
  • Liquid immersed transformer
  • condition monitoring system

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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