A diagnostic study of dissolved gases in transformers based on fuzzy logic approach

B. A. Thango, A. F. Nnachi, J. A. Jordaan, A. O. Akumu, B. T. Abe

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

1 Citation (Scopus)

Abstract

Stray gassing of transformer oil is a convoluted physical phenomenon, in which several parameters act simultaneously thus making the understanding of Dissolved Gas Analysis (DGA) more daunting. Historically, prudent maintenance strategies are better conceived by studying the condition of units in service. To alleviate transformer management and decision matrix, transformer condition assessment is critical using unfailing, noninvasive diagnostics and monitoring mechanisms. The diagnosis of stray gassing of oil can be performed by distinguishing and embedding transformer severities using Fuzzy logic (FL) mapping. Despite the fact that the IEC FL approach is handy in the appraisal of dissolved gases, on occasion the DGA results are impossible to match by current codes and consequently providing inconclusive results. This work reveals a supplemental gas ratio C2H6/CH4 based upon trial and error on a fleet of transformers. These supplemental ratio provide more detailed information about the thermal decomposition of transformer oil from various infancy faults and associated degradation gases transforming from Methane (CH4) to Ethane (C2H6) to Ethylene (C2H4). Additionally, in the IEC FL approach, there is no quantitative measure for the possibility of distinct faults. Further, this work provides incipient fault diagnosis mechanism and some guidelines to allow effective planning and maintenance practice.

Original languageEnglish
Title of host publication2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665403115
DOIs
Publication statusPublished - 23 Aug 2021
Externally publishedYes
Event8th Annual IEEE Power and Energy Society and Industrial Applications Society PowerAfrica Conference, PowerAfrica 2021 - Virtual, Nairobi, Kenya
Duration: 23 Aug 202127 Aug 2021

Publication series

Name2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021

Conference

Conference8th Annual IEEE Power and Energy Society and Industrial Applications Society PowerAfrica Conference, PowerAfrica 2021
Country/TerritoryKenya
CityVirtual, Nairobi
Period23/08/2127/08/21

Keywords

  • Dissolved Gas Analysis (DGA)
  • Fuzzy logic (FL)
  • Stray gassing
  • Transformer

ASJC Scopus subject areas

  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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