Insulation Life Loss Prediction of an Oil-Filled Power Transformer Using Adaptive Neuro-Fuzzy Inference System

Hulisani Matsila, Pitshou N. Bokoro

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

Abstract

In this work, the performance accuracy of the Adaptive Neuro-Fuzzy Inference System (ANFIS) in short-term prediction of insulation life loss is evaluated. A 50 Hz, Dyn11, 1000 kVA 11/0.4 kV oil-filled indoor power transformer, feeding an essential facility with mostly nonlinear and seasonally changing loads, is used. The 1735 Fluke power logger unit and the Fluke 59 mini-infrared thermometer are respectively used for total load current and ambient temperature recordings. The ANFIS, such as implemented in MatLab R2019b software package, is invoked to perform 24-hour computation and subsequently predict the status of insulation life for 7 consecutive days based on 24-hour measurement of the load current, ambient temperature and the hottest-spot temperature. Results show a MAPE of 6.51% for this technique in short-term prediction of insulation life loss of an oil-filled power transformer.

Original languageEnglish
Title of host publication2022 IEEE 31st International Symposium on Industrial Electronics, ISIE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages792-798
Number of pages7
ISBN (Electronic)9781665482400
DOIs
Publication statusPublished - 2022
Event31st IEEE International Symposium on Industrial Electronics, ISIE 2022 - Anchorage, United States
Duration: 1 Jun 20223 Jun 2022

Publication series

NameIEEE International Symposium on Industrial Electronics
Volume2022-June

Conference

Conference31st IEEE International Symposium on Industrial Electronics, ISIE 2022
Country/TerritoryUnited States
CityAnchorage
Period1/06/223/06/22

Keywords

  • adaptive neuro- fuzzy inference system
  • IEEE and IEC guidelines
  • insulation life loss
  • Oil-filled transformer

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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