Thermal prognosis of dry-type transformer: Simulation study on load and ambient temperature impacts

M. Bagheri; A. Subramaniam; S. Bhandari; S. Chandar; S. Nadarajan; A. K. Gupta; S. K. Panda

doi:10.1109/IECON.2015.7392256

Thermal prognosis of dry-type transformer: Simulation study on load and ambient temperature impacts

M. Bagheri, A. Subramaniam, S. Bhandari, S. Chandar, S. Nadarajan, A. K. Gupta, S. K. Panda

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

10 Citations (Scopus)

Abstract

Transformer loading is quite crucial for industry as it has significant influence on transformer insulation deterioration as well as its remained life. Transformer load monitoring even becomes more substantial once transformer is operated in high ambient temperatures. Having real-time information about transformer thermal stress and insulation medium is indeed necessity. An intelligent system should be developed to monitor the transformer condition and giving online information on transformer insulation deterioration. Hence, this study is concentrated on an online prognosis system predicting transformer aging rate as well as remained life. Cast-resin transformer thermal modeling is discussed and influences of load and ambient temperature are investigated. Prognosis software is developed based on introduced model and transformer aging rate is examined through different simulation studies. At the end, developed prognosis system is utilized to keep the transformer aging rate on a specific value in course of transformer operating period. Different simulations on this plan are carried out and results are discussed.

Original language	English
Title of host publication	IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1158-1163
Number of pages	6
ISBN (Electronic)	9781479917624
DOIs	https://doi.org/10.1109/IECON.2015.7392256
Publication status	Published - Jan 25 2016
Externally published	Yes
Event	41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan Duration: Nov 9 2015 → Nov 12 2015

Other

Other	41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015
Country/Territory	Japan
City	Yokohama
Period	11/9/15 → 11/12/15

Keywords

Online transformer assessment
Prognosis
Temperature
Thermal evaluation
Transformer efficiency

ASJC Scopus subject areas

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/IECON.2015.7392256

Cite this

Bagheri, M., Subramaniam, A., Bhandari, S., Chandar, S., Nadarajan, S., Gupta, A. K., & Panda, S. K. (2016). Thermal prognosis of dry-type transformer: Simulation study on load and ambient temperature impacts. In IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society (pp. 1158-1163). Article 7392256 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2015.7392256

Thermal prognosis of dry-type transformer: Simulation study on load and ambient temperature impacts. / Bagheri, M.; Subramaniam, A.; Bhandari, S. et al.
IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1158-1163 7392256.

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

Bagheri, M, Subramaniam, A, Bhandari, S, Chandar, S, Nadarajan, S, Gupta, AK & Panda, SK 2016, Thermal prognosis of dry-type transformer: Simulation study on load and ambient temperature impacts. in IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society., 7392256, Institute of Electrical and Electronics Engineers Inc., pp. 1158-1163, 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015, Yokohama, Japan, 11/9/15. https://doi.org/10.1109/IECON.2015.7392256

Bagheri M, Subramaniam A, Bhandari S, Chandar S, Nadarajan S, Gupta AK et al. Thermal prognosis of dry-type transformer: Simulation study on load and ambient temperature impacts. In IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1158-1163. 7392256 doi: 10.1109/IECON.2015.7392256

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abstract = "Transformer loading is quite crucial for industry as it has significant influence on transformer insulation deterioration as well as its remained life. Transformer load monitoring even becomes more substantial once transformer is operated in high ambient temperatures. Having real-time information about transformer thermal stress and insulation medium is indeed necessity. An intelligent system should be developed to monitor the transformer condition and giving online information on transformer insulation deterioration. Hence, this study is concentrated on an online prognosis system predicting transformer aging rate as well as remained life. Cast-resin transformer thermal modeling is discussed and influences of load and ambient temperature are investigated. Prognosis software is developed based on introduced model and transformer aging rate is examined through different simulation studies. At the end, developed prognosis system is utilized to keep the transformer aging rate on a specific value in course of transformer operating period. Different simulations on this plan are carried out and results are discussed.",

keywords = "Online transformer assessment, Prognosis, Temperature, Thermal evaluation, Transformer efficiency",

author = "M. Bagheri and A. Subramaniam and S. Bhandari and S. Chandar and S. Nadarajan and Gupta, {A. K.} and Panda, {S. K.}",

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AU - Chandar, S.

AU - Nadarajan, S.

AU - Gupta, A. K.

AU - Panda, S. K.

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N2 - Transformer loading is quite crucial for industry as it has significant influence on transformer insulation deterioration as well as its remained life. Transformer load monitoring even becomes more substantial once transformer is operated in high ambient temperatures. Having real-time information about transformer thermal stress and insulation medium is indeed necessity. An intelligent system should be developed to monitor the transformer condition and giving online information on transformer insulation deterioration. Hence, this study is concentrated on an online prognosis system predicting transformer aging rate as well as remained life. Cast-resin transformer thermal modeling is discussed and influences of load and ambient temperature are investigated. Prognosis software is developed based on introduced model and transformer aging rate is examined through different simulation studies. At the end, developed prognosis system is utilized to keep the transformer aging rate on a specific value in course of transformer operating period. Different simulations on this plan are carried out and results are discussed.

AB - Transformer loading is quite crucial for industry as it has significant influence on transformer insulation deterioration as well as its remained life. Transformer load monitoring even becomes more substantial once transformer is operated in high ambient temperatures. Having real-time information about transformer thermal stress and insulation medium is indeed necessity. An intelligent system should be developed to monitor the transformer condition and giving online information on transformer insulation deterioration. Hence, this study is concentrated on an online prognosis system predicting transformer aging rate as well as remained life. Cast-resin transformer thermal modeling is discussed and influences of load and ambient temperature are investigated. Prognosis software is developed based on introduced model and transformer aging rate is examined through different simulation studies. At the end, developed prognosis system is utilized to keep the transformer aging rate on a specific value in course of transformer operating period. Different simulations on this plan are carried out and results are discussed.

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Thermal prognosis of dry-type transformer: Simulation study on load and ambient temperature impacts

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Keywords

ASJC Scopus subject areas

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