A New Transformer FRA Test Setup for Advanced Interpretation and Winding Short-circuit Prediction

Venera Nurmanova, Yerbol Akhmetov, Mehdi Bagheri, Amin Zollanvari, Gevork B. Gharehpetian, Toan Phung

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

Abstract

The significance of the distribution and power transformers as the key components of the electric power grid is not overrated. Therefore, a thorough diagnosis and quality maintenance procedures are matters of the primary interest for power companies. Among most accurate and well-established transformer mechanical condition monitoring methods is the Frequency Response Analysis (FRA). FRA has a quite solid background in terms of research, industry application and international standardization. Nevertheless, the interpretation of the FRA still suffers from the ambiguity of the test results. In this paper, a modified measurement setup for FRA is proposed in order to collect the comprehensive data sets for statistical analysis and machine learning application. Based on the collected data a winding short-circuit detection and fault severity prediction model is developed. The estimated accuracy of the proposed interpretation and classification method demonstrated the validity of the novelty approach.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
EditorsZhigniew Leonowicz
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728174532
DOIs
Publication statusPublished - Jun 2020
Event2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 - Madrid, Spain
Duration: Jun 9 2020Jun 12 2020

Publication series

NameProceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020

Conference

Conference2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
CountrySpain
CityMadrid
Period6/9/206/12/20

Keywords

  • fault detection
  • FRA interpretation
  • Frequency Response Analysis (FRA)
  • severity prediction
  • winding short-circuit

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Environmental Engineering

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  • Cite this

    Nurmanova, V., Akhmetov, Y., Bagheri, M., Zollanvari, A., Gharehpetian, G. B., & Phung, T. (2020). A New Transformer FRA Test Setup for Advanced Interpretation and Winding Short-circuit Prediction. In Z. Leonowicz (Ed.), Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 [9160545] (Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160545