Detection of Power Transformer Fault Conditions using Optical Characteristics of Transformer Oil

Nur Afini Fauzi, Vimal Angela Thiviyanathan, Yang Sing Leong, Pin Jern Ker, Md Zaini Jamaludin, Saifuddin M. Nomanbhay, H. M. Looe, C. K. Lo

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

Abstract

Power transformers are important in the power transmission and distribution network. A continuous monitoring of the transformer is important in ensuring the prolonged service of the transformer. This paper focuses on the characterization of transformer oil using optical detection method. 10 Transformer oil samples from the main tanks and 11 oil samples from the onload-tap-changer (OLTC) were obtained for the optical characterization from 200 to 3300 nm. Based on the conventional results interpretation using dissolved gas analysis (DGA) and Duval Triangle, the optical characteristics of the samples in 2120 to 2220 nm clearly demonstrate the detection of electrical discharges of high energy (D2), electrical discharges of low energy (D1) and thermal faults at temperatures above 700°C (T3) faults. This approach provides a quicker and cheaper method to determine the condition of power transformers based on the optical characteristics of transformer oil.

Original languageEnglish
Title of host publication2018 IEEE 7th International Conference on Photonics, ICP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538611876
DOIs
Publication statusPublished - 12 Nov 2018
Event7th IEEE International Conference on Photonics, ICP 2018 - Langkawi, Kedah, Malaysia
Duration: 09 Apr 201811 Apr 2018

Publication series

Name2018 IEEE 7th International Conference on Photonics, ICP 2018

Other

Other7th IEEE International Conference on Photonics, ICP 2018
CountryMalaysia
CityLangkawi, Kedah
Period09/04/1811/04/18

Fingerprint

Insulating oil
Power transformers
transformers
oils
Gas fuel analysis
Electric power transmission networks
Power transmission
Electric power distribution
Monitoring
dissolved gases
gas analysis
power transmission
taps
electric power
triangles
Temperature

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

Cite this

Fauzi, N. A., Thiviyanathan, V. A., Leong, Y. S., Ker, P. J., Jamaludin, M. Z., M. Nomanbhay, S., ... Lo, C. K. (2018). Detection of Power Transformer Fault Conditions using Optical Characteristics of Transformer Oil. In 2018 IEEE 7th International Conference on Photonics, ICP 2018 [8533173] (2018 IEEE 7th International Conference on Photonics, ICP 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICP.2018.8533173
Fauzi, Nur Afini ; Thiviyanathan, Vimal Angela ; Leong, Yang Sing ; Ker, Pin Jern ; Jamaludin, Md Zaini ; M. Nomanbhay, Saifuddin ; Looe, H. M. ; Lo, C. K. / Detection of Power Transformer Fault Conditions using Optical Characteristics of Transformer Oil. 2018 IEEE 7th International Conference on Photonics, ICP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE 7th International Conference on Photonics, ICP 2018).
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abstract = "Power transformers are important in the power transmission and distribution network. A continuous monitoring of the transformer is important in ensuring the prolonged service of the transformer. This paper focuses on the characterization of transformer oil using optical detection method. 10 Transformer oil samples from the main tanks and 11 oil samples from the onload-tap-changer (OLTC) were obtained for the optical characterization from 200 to 3300 nm. Based on the conventional results interpretation using dissolved gas analysis (DGA) and Duval Triangle, the optical characteristics of the samples in 2120 to 2220 nm clearly demonstrate the detection of electrical discharges of high energy (D2), electrical discharges of low energy (D1) and thermal faults at temperatures above 700°C (T3) faults. This approach provides a quicker and cheaper method to determine the condition of power transformers based on the optical characteristics of transformer oil.",
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Fauzi, NA, Thiviyanathan, VA, Leong, YS, Ker, PJ, Jamaludin, MZ, M. Nomanbhay, S, Looe, HM & Lo, CK 2018, Detection of Power Transformer Fault Conditions using Optical Characteristics of Transformer Oil. in 2018 IEEE 7th International Conference on Photonics, ICP 2018., 8533173, 2018 IEEE 7th International Conference on Photonics, ICP 2018, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Photonics, ICP 2018, Langkawi, Kedah, Malaysia, 09/04/18. https://doi.org/10.1109/ICP.2018.8533173

Detection of Power Transformer Fault Conditions using Optical Characteristics of Transformer Oil. / Fauzi, Nur Afini; Thiviyanathan, Vimal Angela; Leong, Yang Sing; Ker, Pin Jern; Jamaludin, Md Zaini; M. Nomanbhay, Saifuddin; Looe, H. M.; Lo, C. K.

2018 IEEE 7th International Conference on Photonics, ICP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8533173 (2018 IEEE 7th International Conference on Photonics, ICP 2018).

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

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AB - Power transformers are important in the power transmission and distribution network. A continuous monitoring of the transformer is important in ensuring the prolonged service of the transformer. This paper focuses on the characterization of transformer oil using optical detection method. 10 Transformer oil samples from the main tanks and 11 oil samples from the onload-tap-changer (OLTC) were obtained for the optical characterization from 200 to 3300 nm. Based on the conventional results interpretation using dissolved gas analysis (DGA) and Duval Triangle, the optical characteristics of the samples in 2120 to 2220 nm clearly demonstrate the detection of electrical discharges of high energy (D2), electrical discharges of low energy (D1) and thermal faults at temperatures above 700°C (T3) faults. This approach provides a quicker and cheaper method to determine the condition of power transformers based on the optical characteristics of transformer oil.

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Fauzi NA, Thiviyanathan VA, Leong YS, Ker PJ, Jamaludin MZ, M. Nomanbhay S et al. Detection of Power Transformer Fault Conditions using Optical Characteristics of Transformer Oil. In 2018 IEEE 7th International Conference on Photonics, ICP 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8533173. (2018 IEEE 7th International Conference on Photonics, ICP 2018). https://doi.org/10.1109/ICP.2018.8533173