Review of Various Sensor Technologies in Monitoring the Condition of Power Transformers

被引:4
作者
Beheshti Asl, Meysam [1 ]
Fofana, Issouf [1 ]
Meghnefi, Fethi [1 ]
机构
[1] Univ Quebec Chicoutimi UQAC, Canada Res Chair Tier Aging Oil Filled Equipment H, Dept Appl Sci DSA, Saguenay, PQ G7H 2B1, Canada
关键词
sensor technologies; power transformers; partial discharge; core condition; fiber Bragg grating; optical fiber; ultra-high-frequency sensors; dissolved gas analysis; tap-changer; bushing; oil sensors; PARTIAL DISCHARGE DETECTION; SURFACE-PLASMON RESONANCE; CAPACITIVE SENSOR; FIBER; OIL; TEMPERATURE; DESIGN; IMPLEMENTATION; SENSITIVITY; DIAGNOSIS;
D O I
10.3390/en17143533
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Modern power grids are undergoing a significant transformation with the massive integration of renewable, decentralized, and electronically interfaced energy sources, alongside new digital and wireless communication technologies. This transition necessitates the widespread adoption of robust online diagnostic and monitoring tools. Sensors, known for their intuitive and smart capabilities, play a crucial role in efficient condition monitoring, aiding in the prediction of power outages and facilitating the digital twinning of power equipment. This review comprehensively analyzes various sensor technologies used for monitoring power transformers, focusing on the critical need for reliable and efficient fault detection. The study explores the application of fiber Bragg grating (FBG) sensors, optical fiber sensors, wireless sensing networks, chemical sensors, ultra-high-frequency (UHF) sensors, and piezoelectric sensors in detecting parameters such as partial discharges, core condition, temperature, and dissolved gases. Through an extensive literature review, the sensitivity, accuracy, and practical implementation challenges of these sensor technologies are evaluated. Significant advances in real-time monitoring capabilities and improved diagnostic precision are highlighted in the review. It also identifies key challenges such as environmental susceptibility and the long-term stability of sensors. By synthesizing the current research and methodologies, this paper provides valuable insights into the integration and optimization of sensor technologies for enhancing transformer condition monitoring and reliability in modern power systems.
引用
收藏
页数:40
相关论文
共 256 条
  • [1] Novel green phosphorene as a superior gas sensor for dissolved gas analysis in oil transformers: using DFT method
    Aasi, Aref
    Javahersaz, Roohollah
    Aghaei, Sadegh Mehdi
    Panchapakesan, Balaji
    [J]. MOLECULAR SIMULATION, 2022, 48 (06) : 541 - 550
  • [2] Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods
    Abbasi, Ali Reza
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2022, 209
  • [3] Magnetic-thermal analysis of distribution transformer: Validation via optical fiber sensors and thermography
    Abdali, Ali
    Abedi, Ali
    Masoumkhani, Hossein
    Mazlumi, Kazem
    Rabiee, Abbas
    Guerrero, Josep M.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2023, 153
  • [4] Adhikari K., 2020, P 2020 IEEE INT C PO, P1
  • [5] The Effects of PWM With High dv/dt on Partial Discharge and Lifetime of Medium-Frequency Transformer for Medium-Voltage (MV) Solid State Transformer Applications
    Agarwal, Rachit
    Li, Hui
    Guo, Zhehui
    Cheetham, Peter
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (04) : 3857 - 3866
  • [6] On the Feasibility of Monitoring Power Transformer's Winding Vibration and Temperature along with Moisture in Oil Using Optical Sensors
    Akre, Simplice
    Fofana, Issouf
    Yeo, Zie
    Brettschneider, Stephan
    Kung, Peter
    Sekongo, Bekibenan
    [J]. SENSORS, 2023, 23 (04)
  • [7] A highly selective sensor to acetylene and ethylene based on LaFeO3
    Alharbi, A. A.
    Sackmann, A.
    Weimar, U.
    Barsan, N.
    [J]. SENSORS AND ACTUATORS B-CHEMICAL, 2020, 303
  • [8] Photoluminescence Spectroscopy Measurements for Effective Condition Assessment of Transformer Insulating Oil
    Alshehawy, Abdelrahman M.
    Mansour, Diaa-Eldin A.
    Ghali, Mohsen
    Lehtonen, Matti
    Darwish, Mohamed M. F.
    [J]. PROCESSES, 2021, 9 (05)
  • [9] [Anonymous], 2010, IEC 60666:2010
  • [10] [Anonymous], 2018, IEC 60156, P37