| Peer-Reviewed

Development of Acoustic Optical Fiber Sensor for Arc Discharge in Power Transformer

Received: 8 October 2022     Accepted: 27 October 2022     Published: 29 October 2022
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Abstract

Insulation problem is the main cause of power transformer failures and accidents. Arc discharge is an important manifestation and symptom of transformer insulation degradation. Therefore, it is of great significance to realize the online monitoring of arc discharge defects in a timely and effective manner, and to monitor the real-time status of transformers and conduct fault analysis based on them. Previous researches show that when the arc discharge generates ultrasonic signal, it will also be accompanied by a large number of audible signals. Therefore, monitoring the acoustic signal of arc discharge provides a new idea for online monitoring of transformers. In order to fill this research gap, the structure of arc discharge acoustic sensor based on fiber grating in transformer is designed. In view of the problem that the cross sensitivity of stress and temperature affects the measurement accuracy of the sensor, a double fiber grating temperature compensation method is proposed, and a transformer built-in acoustic sensor with large measurement range and excellent anti-interference performance, which has both audible sound and low-frequency ultrasound, is successfully developed. The theoretical measurement range is 1 kHz - 60 kHz. Using the built test platform for sensing the acoustic signal of arc discharge inside the transformer, the acoustic signal sensing ability of the optical fiber acoustic sensor is monitored by comparing the audible acoustic sensor and the ultrasonic sensor. The results show that the acoustic signal band is mainly 2 kHz - 10 kHz and 50 kHz - 60 kHz.

Published in Journal of Electrical and Electronic Engineering (Volume 10, Issue 5)
DOI 10.11648/j.jeee.20221005.14
Page(s) 207-214
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Transformer, Arc Discharge, Optical Fiber Acoustic Sensor

References
[1] Lan Huili, Zhang Rencheng, Li Kena, Feng Ping. Recognition method of fault arc sound based on wavelet frequency band energy [J]. Computer Measurement and Control, 2013, 21 (02): 532-534.
[2] Working Group A2. 33. Guide for Transformer Fire Safety Practices [R]. Paris, France: CIGRE, 2013.
[3] Mangeret R, Farenc J. Optical detection of partial discharges using fluorescent fiber [J]. IEEE Transactions on Electrical Insulation, 1991, 26 (4): 783-789.
[4] Li Haoyu. Research on arc discharge fault detection of oil immersed transformer [D]. Fujian Institute of Engineering, 2019.
[5] Ma Rongrong, Hu Min, Huang Qingsha. Gas chromatographic analysis of arc discharge fault in transformer [J]. Electronic Quality, 2016 (11): 29-33.
[6] Dong Like, Wang Tianzheng, Wang Qi, Han Rundong. Application of infrared thermal image detection in power transformer fault diagnosis [J]. Energy and Energy Conservation, 2017 (09): 186-187.
[7] Lu Xiang. Development of partial discharge ultrasonic signal detection system and experimental study on partial discharge [D]. Harbin University of Technology, 2017.
[8] Zhong Qishu. Research on arc sound based fault arc prediction and early warning protection technology [D]. Overseas Chinese University, 2008.
[9] Zhao Lihua, Xu Shurong, Xie Rongbing, Xue Jing. Selection of microphone in transformer audible diagnosis technology [J]. Electrical Measurement and Instrument, 2018, 55 (01): 102-108.
[10] He G, Cuomo F W. Displacement response, detection limit, and dynamic range of fiber-optic lever sensors [J]. Journal of Lightwave Technology, 1991, 9 (11): P. 1618-1625.
[11] Jiang Yongliang. Theoretical and experimental study of optical fiber microphone [D]. Southeast University, 2005.
[12] Mohanty L, Koh L M, Tjin S C. Fiber Bragg grating microphone system [J]. Applied Physics Letters, 2006, 89 (16): 937-242.
[13] Yang Jian, Zhao Yong, Nin Xingjie. Study on a new type of fiber grating underwater acoustic sensor [J]. Journal of Optics, 2007 (09): 1575-1579.
[14] Yu Ruoyu. Research on fiber grating hydrophone [D]. Beijing University of Posts and Telecommunications, 2019.
[15] Lin Huizu. Research on key technologies of fiber grating hydrophone array based on matched interference [D]. National University of Defense Science and Technology, 2013.
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  • APA Style

    Hou Zhe. (2022). Development of Acoustic Optical Fiber Sensor for Arc Discharge in Power Transformer. Journal of Electrical and Electronic Engineering, 10(5), 207-214. https://doi.org/10.11648/j.jeee.20221005.14

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    ACS Style

    Hou Zhe. Development of Acoustic Optical Fiber Sensor for Arc Discharge in Power Transformer. J. Electr. Electron. Eng. 2022, 10(5), 207-214. doi: 10.11648/j.jeee.20221005.14

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    AMA Style

    Hou Zhe. Development of Acoustic Optical Fiber Sensor for Arc Discharge in Power Transformer. J Electr Electron Eng. 2022;10(5):207-214. doi: 10.11648/j.jeee.20221005.14

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  • @article{10.11648/j.jeee.20221005.14,
      author = {Hou Zhe},
      title = {Development of Acoustic Optical Fiber Sensor for Arc Discharge in Power Transformer},
      journal = {Journal of Electrical and Electronic Engineering},
      volume = {10},
      number = {5},
      pages = {207-214},
      doi = {10.11648/j.jeee.20221005.14},
      url = {https://doi.org/10.11648/j.jeee.20221005.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20221005.14},
      abstract = {Insulation problem is the main cause of power transformer failures and accidents. Arc discharge is an important manifestation and symptom of transformer insulation degradation. Therefore, it is of great significance to realize the online monitoring of arc discharge defects in a timely and effective manner, and to monitor the real-time status of transformers and conduct fault analysis based on them. Previous researches show that when the arc discharge generates ultrasonic signal, it will also be accompanied by a large number of audible signals. Therefore, monitoring the acoustic signal of arc discharge provides a new idea for online monitoring of transformers. In order to fill this research gap, the structure of arc discharge acoustic sensor based on fiber grating in transformer is designed. In view of the problem that the cross sensitivity of stress and temperature affects the measurement accuracy of the sensor, a double fiber grating temperature compensation method is proposed, and a transformer built-in acoustic sensor with large measurement range and excellent anti-interference performance, which has both audible sound and low-frequency ultrasound, is successfully developed. The theoretical measurement range is 1 kHz - 60 kHz. Using the built test platform for sensing the acoustic signal of arc discharge inside the transformer, the acoustic signal sensing ability of the optical fiber acoustic sensor is monitored by comparing the audible acoustic sensor and the ultrasonic sensor. The results show that the acoustic signal band is mainly 2 kHz - 10 kHz and 50 kHz - 60 kHz.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Development of Acoustic Optical Fiber Sensor for Arc Discharge in Power Transformer
    AU  - Hou Zhe
    Y1  - 2022/10/29
    PY  - 2022
    N1  - https://doi.org/10.11648/j.jeee.20221005.14
    DO  - 10.11648/j.jeee.20221005.14
    T2  - Journal of Electrical and Electronic Engineering
    JF  - Journal of Electrical and Electronic Engineering
    JO  - Journal of Electrical and Electronic Engineering
    SP  - 207
    EP  - 214
    PB  - Science Publishing Group
    SN  - 2329-1605
    UR  - https://doi.org/10.11648/j.jeee.20221005.14
    AB  - Insulation problem is the main cause of power transformer failures and accidents. Arc discharge is an important manifestation and symptom of transformer insulation degradation. Therefore, it is of great significance to realize the online monitoring of arc discharge defects in a timely and effective manner, and to monitor the real-time status of transformers and conduct fault analysis based on them. Previous researches show that when the arc discharge generates ultrasonic signal, it will also be accompanied by a large number of audible signals. Therefore, monitoring the acoustic signal of arc discharge provides a new idea for online monitoring of transformers. In order to fill this research gap, the structure of arc discharge acoustic sensor based on fiber grating in transformer is designed. In view of the problem that the cross sensitivity of stress and temperature affects the measurement accuracy of the sensor, a double fiber grating temperature compensation method is proposed, and a transformer built-in acoustic sensor with large measurement range and excellent anti-interference performance, which has both audible sound and low-frequency ultrasound, is successfully developed. The theoretical measurement range is 1 kHz - 60 kHz. Using the built test platform for sensing the acoustic signal of arc discharge inside the transformer, the acoustic signal sensing ability of the optical fiber acoustic sensor is monitored by comparing the audible acoustic sensor and the ultrasonic sensor. The results show that the acoustic signal band is mainly 2 kHz - 10 kHz and 50 kHz - 60 kHz.
    VL  - 10
    IS  - 5
    ER  - 

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Author Information
  • State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

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