A review of optical gas sensing technology for dissolved gas analysis in transformer oil

被引:0
|
作者
Dai, Jialiang [1 ,2 ]
Luo, Bing [2 ]
Shen, Xiaowen [1 ,2 ]
Han, Wenfei [1 ,2 ]
Cui, Ruyue [1 ,2 ]
Wu, Jintao [1 ,2 ]
Zhang, Haofeng [2 ]
Xiao, Wei [2 ]
Zhong, Zheng [2 ]
Dong, Lei [1 ,2 ]
Wu, Hongpeng [1 ,2 ]
机构
[1] Shanxi Univ, Taiyuan, Peoples R China
[2] CSG, Elect Power Res Inst, Guangzhou, Peoples R China
来源
FRONTIERS IN PHYSICS | 2025年 / 13卷
关键词
DGA; transformer oil; RS; FTIR; TDLAS; PAS; gas sensing; QUARTZ-TUNING-FORK; PHOTOACOUSTIC-SPECTROSCOPY; IN-OIL; SENSOR; METHANE; SYSTEM; CAVITY; CELL;
D O I
10.3389/fphy.2025.1547563
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Dissolved gas analysis (DGA) of transformer oil can deeply understand the operation status of oil-immersed transformers, and detect early transformer failures as early as possible, thus achieving the purpose of preventing further damage to the transformer. It is a highly reliable method for identifying early-stage faults in transformers. This paper reviews the commonly used sensing technologies for analyzing dissolved gases in transformer oil, including Raman spectroscopy (RS), fourier transform infrared spectroscopy (FTIR), tunable diode laser absorption spectroscopy (TDLAS) and photoacoustic spectroscopy (PAS). The progress of research on these four gas sensing technologies is reviewed, with a detailed analysis of their respective principles and characteristics. This work provides guidance for the selection of appropriate online gas preliminary sensing technology, which is essential for the assessment of transformer operating conditions to ensure the stable operation of power systems.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Combined DBN Diagnosis Method for Dissolved Gas Analysis of Power Transformer Oil
    Rong Z.
    Qi B.
    Li C.
    Zhu S.
    Chen Y.
    Gu C.
    Dianwang Jishu/Power System Technology, 2019, 43 (10): : 3800 - 3807
  • [22] The application analysis of the on-line monitoring system of dissolved gas in transformer oil
    Li Yanming
    Liu Gang
    Liang Ying
    Xing Yan
    2007 ANNUAL REPORT CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA, 2007, : 747 - +
  • [23] Transformer fault diagnosis using Dissolved Gas Analysis technology and Bayesian networks
    Lakehal, A.
    Ghemari, Z.
    Saad, S.
    2015 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2015, : 194 - 198
  • [24] TRANSFORMER FAULT DETECTION BY DISSOLVED GAS ANALYSIS
    WADDINGT.FB
    ALLAN, DJ
    ELECTRICAL REVIEW, 1969, 184 (21): : 751 - &
  • [25] Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review
    Ali, Mohd Syukri
    Bakar, Ab Halim Abu
    Omar, Azimah
    Jaafar, Amirul Syafiq Abdul
    Mohamed, Siti Hajar
    ELECTRIC POWER SYSTEMS RESEARCH, 2023, 216
  • [26] Spectrum absorption detecting fault gas dissolved in transformer oil
    Wang, YT
    Meng, Z
    Sui, HL
    ADVANCED SENSOR SYSTEMS AND APPLICATIONS, 2002, 4920 : 501 - 504
  • [27] Optical gas sensing: a review
    Hodgkinson, Jane
    Tatam, Ralph P.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2013, 24 (01)
  • [28] Spectrum absorption detect on of fault gas dissolved in transformer oil
    Wang, YT
    Meng, Z
    Liu, YH
    PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON PRECISION MECHANICAL MEASUREMENT, VOL 4, 2002, : 584 - 588
  • [29] Interval prediction of dissolved-gas concentration in transformer oil
    Lin X.
    Huang J.
    Xiong W.
    Weng H.
    Zhu L.
    Zhang Z.
    Xie Z.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2016, 36 (04): : 73 - 77
  • [30] Prediction of the gas dissolved in power transformer oil by the grey model
    Luo, Y.B.
    Yu, P.
    Song, B.
    Peng, Z.H.
    Lin, X.M.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2001, 21 (03): : 65 - 69