A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature

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

doi:10.1109/EEEIC/ICPSEurope51590.2021.9584786

A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

The mechanical and electrical stability of the power and distribution transformers is essential by electricity providers and consumers. The transfer function method, specifically, Frequency Response Analysis (FRA) is quite well-known as the most accurate and reliable technique for determining the mechanical faults in transformer active part. This study presents a comprehensive method for transformer winding disk space variation (DSV) modeling using SPICE netlists. It is based on the elaborated winding RLC model, and the model data are validated with a practical work in this research work. The FRA measurements of normal and deformed scenarios are conducted and evaluated with the introduced technique. The behavior of the FRA spectra for normal and DSV scenarios is analyzed, and the model is validated and revealed a similar trend for both practical and netlists-based winding models. The proposed winding RLC model will enable researchers to study the effect of the other mechanical deformations on the frequency response curve without conducting the irreversible faults to the winding structure.

Original language	English
Title of host publication	21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings
Editors	Zbigniew M. Leonowicz
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665436120
DOIs	https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584786
Publication status	Published - 2021
Event	21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Bari, Italy Duration: Sept 7 2021 → Sept 10 2021

Publication series

Name	21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings

Conference

Conference	21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021
Country/Territory	Italy
City	Bari
Period	9/7/21 → 9/10/21

Funding

This work was supported in part by the Faculty Development Competitive Research Grant, Nazarbayev University (Project no. 021220FD1251).

Keywords

frequency response analysis
transformer condition diagnosis
transformer RLC modeling
winding axial deformation

ASJC Scopus subject areas

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EEEIC/ICPSEurope51590.2021.9584786

Cite this

Nurmanova, V., Akhmetov, Y., Bagheri, M., Zollanvari, A., Gharehpetian, G. B., & Phung, T. (2021). A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature. In Z. M. Leonowicz (Ed.), 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings (21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584786

A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature. / Nurmanova, Venera; Akhmetov, Yerbol; Bagheri, Mehdi et al.
21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings. ed. / Zbigniew M. Leonowicz. Institute of Electrical and Electronics Engineers Inc., 2021. (21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nurmanova, V, Akhmetov, Y, Bagheri, M , Zollanvari, A, Gharehpetian, GB & Phung, T 2021, A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature. in ZM Leonowicz (ed.), 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings. 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021, Bari, Italy, 9/7/21. https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584786

Nurmanova V, Akhmetov Y, Bagheri M , Zollanvari A, Gharehpetian GB, Phung T. A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature. In Leonowicz ZM, editor, 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings). doi: 10.1109/EEEIC/ICPSEurope51590.2021.9584786

Nurmanova, Venera ; Akhmetov, Yerbol ; Bagheri, Mehdi et al. / A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature. 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings. editor / Zbigniew M. Leonowicz. Institute of Electrical and Electronics Engineers Inc., 2021. (21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings).

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abstract = "The mechanical and electrical stability of the power and distribution transformers is essential by electricity providers and consumers. The transfer function method, specifically, Frequency Response Analysis (FRA) is quite well-known as the most accurate and reliable technique for determining the mechanical faults in transformer active part. This study presents a comprehensive method for transformer winding disk space variation (DSV) modeling using SPICE netlists. It is based on the elaborated winding RLC model, and the model data are validated with a practical work in this research work. The FRA measurements of normal and deformed scenarios are conducted and evaluated with the introduced technique. The behavior of the FRA spectra for normal and DSV scenarios is analyzed, and the model is validated and revealed a similar trend for both practical and netlists-based winding models. The proposed winding RLC model will enable researchers to study the effect of the other mechanical deformations on the frequency response curve without conducting the irreversible faults to the winding structure.",

keywords = "frequency response analysis, transformer condition diagnosis, transformer RLC modeling, winding axial deformation",

author = "Venera Nurmanova and Yerbol Akhmetov and Mehdi Bagheri and Amin Zollanvari and Gharehpetian, \{Gevork B.\} and Toan Phung",

note = "Funding Information: This work was supported in part by the Faculty Development Competitive Research Grant, Nazarbayev University (Project no. 021220FD1251). Publisher Copyright: {\textcopyright} 2021 IEEE; 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 ; Conference date: 07-09-2021 Through 10-09-2021",

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AU - Nurmanova, Venera

AU - Akhmetov, Yerbol

AU - Bagheri, Mehdi

AU - Zollanvari, Amin

AU - Gharehpetian, Gevork B.

AU - Phung, Toan

PY - 2021

Y1 - 2021

N2 - The mechanical and electrical stability of the power and distribution transformers is essential by electricity providers and consumers. The transfer function method, specifically, Frequency Response Analysis (FRA) is quite well-known as the most accurate and reliable technique for determining the mechanical faults in transformer active part. This study presents a comprehensive method for transformer winding disk space variation (DSV) modeling using SPICE netlists. It is based on the elaborated winding RLC model, and the model data are validated with a practical work in this research work. The FRA measurements of normal and deformed scenarios are conducted and evaluated with the introduced technique. The behavior of the FRA spectra for normal and DSV scenarios is analyzed, and the model is validated and revealed a similar trend for both practical and netlists-based winding models. The proposed winding RLC model will enable researchers to study the effect of the other mechanical deformations on the frequency response curve without conducting the irreversible faults to the winding structure.

AB - The mechanical and electrical stability of the power and distribution transformers is essential by electricity providers and consumers. The transfer function method, specifically, Frequency Response Analysis (FRA) is quite well-known as the most accurate and reliable technique for determining the mechanical faults in transformer active part. This study presents a comprehensive method for transformer winding disk space variation (DSV) modeling using SPICE netlists. It is based on the elaborated winding RLC model, and the model data are validated with a practical work in this research work. The FRA measurements of normal and deformed scenarios are conducted and evaluated with the introduced technique. The behavior of the FRA spectra for normal and DSV scenarios is analyzed, and the model is validated and revealed a similar trend for both practical and netlists-based winding models. The proposed winding RLC model will enable researchers to study the effect of the other mechanical deformations on the frequency response curve without conducting the irreversible faults to the winding structure.

KW - frequency response analysis

KW - transformer condition diagnosis

KW - transformer RLC modeling

KW - winding axial deformation

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A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature

Abstract

Publication series

Conference

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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