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An Oil Flow Velocity In Situ Sensor for Power Transformers Based on Laser Doppler Effect | IEEE Journals & Magazine | IEEE Xplore

An Oil Flow Velocity In Situ Sensor for Power Transformers Based on Laser Doppler Effect


Abstract:

The assessment of the power transformers health status has garnered significant attention. The oil flow velocity serves as a critical parameter for assessing the severity...Show More

Abstract:

The assessment of the power transformers health status has garnered significant attention. The oil flow velocity serves as a critical parameter for assessing the severity of internal faults in oil-immersed power transformers, and its effective monitoring can accurately reflect the operational state of power transformers. The operational principle of the existing transformer heavy gas protection involves measuring the oil flow velocity during transformer faults through a mechanical device positioned at a specific pipeline location. However, this approach presents several challenges, including prolonged response times, a narrow monitoring range, and low measurement accuracy. To address these challenges, a fast-response, wide-range, high-accuracy, and long-lifespan in situ oil flow velocity sensor was designed and developed, drawing inspiration from the existing sensing technologies based on the laser Doppler effect and tailored to the operational environment of transformers. Test results for the key parameters of the sensor demonstrated that a measurement range of 0–3 m/s was achieved, with a maximum measurement error of 3.6%. Furthermore, the sensor is capable of operating for over 15 years in the complex operational environment of power transformers. Finally, application tests were conducted on a real scale 110-kV transformer, yielding a maximum measurement error of only 3%, with the flow velocity being accurately measurable under various conditions. The developed sensor offers a novel technical approach for the digital sensing of transformer oil velocity.
Article Sequence Number: 9002908
Date of Publication: 24 March 2025

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I. Introduction

The power transformers are the essential components of power transmission systems, and their operational health directly influences the reliability and stability of electricity supply [1]. The transformer oil exhibits superior insulation and heat dissipation properties, effectively preventing internal metal components from corrosion and oxidation. Consequently, it is widely utilized in power transformers to enhance performance and extend service life. Among various faults, penetrating arc discharge poses a significant threat to the integrity of the insulation structure within transformers [2], [3]. The occurrence of an arc discharge leads to rapid decomposition of the insulation materials, generating substantial gas in a short time frame, which results in a swift pressure increase within the oil tank [4], [5]. Additionally, a considerable volume of oil rapidly flows back into the transformer conservator from the tank. The oil flow velocity serves as a critical parameter indicative of arc fault severity [6]. Therefore, precise monitoring of oil flow velocity is crucial for effectively mitigating deflagration-related arc discharges.

Select All
1.
C. Gao, B. Qi, Y. Gao, Z. Zhu and C. Li, "Kerr electro-optic sensor for electric field in large-scale oil–pressboard insulation structure", IEEE Trans. Instrum. Meas., vol. 68, no. 10, pp. 3626-3634, Oct. 2019.
2.
W. Liao, Y. Zhang, D. Cao, T. Ishizaki, Z. Yang and D. Yang, "Explainable fault diagnosis of oil-immersed transformers: A glass-box model", IEEE Trans. Instrum. Meas., vol. 73, pp. 1-4, 2024.
3.
C. Yan et al., "Research on oil pressure rise and fluctuation due to arcing faults inside transformers", IEEE Trans. Power Del., vol. 38, no. 2, pp. 1483-1492, Apr. 2023.
4.
K. Zhu et al., "A highly sensitive and durable sensor for in situ hydrogen measurement in transformer oil", IEEE Trans. Instrum. Meas., vol. 73, pp. 1-8, 2024.
5.
J. Tang, Y. Zhang, C. Pan, R. Zhuo, D. Wang and X. Li, "Impact of oil velocity on partial discharge characteristics induced by bubbles in transformer oil", IEEE Trans. Dielectr. Electr. Insul., vol. 25, no. 5, pp. 1605-1613, Oct. 2018.
6.
B. Li, Z. Hao, S. Li, S. Pan, J. Xiong and B. Zhang, "Response characteristics of the buchholz relay and novel non-electric-parameter protection methods", IEEE Trans. Power Del., vol. 38, no. 6, pp. 4103-4113, Dec. 2023.
7.
IEEE, 156-2016, "IEEE Guide for Tank Rupture Mitigation of Liquid-Immersed Power Transformers and Reactors", 2016.
8.
Guide for transformer fire safety practices, Paris, France, Jun. 2013.
9.
O. Millán-Blasco, J. Salazar, J. A. Chávez, A. Turó-Peroy and M. J. García-Hernández, "Zero-flow offset variation in ultrasonic clamp-on flowmeters due to inhomogeneity and nonlinearity of pipe materials", IEEE Trans. Instrum. Meas., vol. 66, no. 11, pp. 2845-2851, Nov. 2017.
10.
C. Kargel, G. Plevnik, B. Trummer and M. F. Insana, "Doppler ultrasound systems designed for tumor blood flow imaging", IEEE Trans. Instrum. Meas., vol. 53, no. 2, pp. 524-536, Apr. 2004.
11.
W. Ren, N. Jin and L. Zhai, "A dual mode ultrasonic method for measuring gas volume fraction in two-phase slug flows", IEEE Sensors J., vol. 23, no. 22, pp. 28012-28020, Nov. 2023.
12.
B. Mitchell et al., "Non-invasive groundwater velocity measurements using a novel electromagnetic flowmeter", IEEE Trans. Instrum. Meas., vol. 71, pp. 1-15, 2022.
13.
P. Ligeza, "Use of natural fluctuations of flow parameters for measurement of velocity vector", IEEE Trans. Instrum. Meas., vol. 63, no. 3, pp. 633-640, Mar. 2014.
14.
Y. Lee and S. Mei, "Diffeomorphic particle image velocimetry", IEEE Trans. Instrum. Meas., vol. 71, pp. 1-10, 2022.
15.
L. Yuan, J. Yang and Z. Liu, "A compact fiber-optic flow velocity sensor based on a twin-core fiber Michelson interferometer", IEEE Sensors J., vol. 8, no. 7, pp. 1114-1117, Jul. 2008.
16.
B. Hou et al., "Differential fiber grating vector flow velocity sensor based on strain amplifying cantilever beam structure", IEEE Sensors J., vol. 22, no. 23, pp. 22678-22690, Dec. 2022.
17.
N. Vahabi, E. Willman, H. Baghsiahi and D. R. Selviah, "Fluid flow velocity measurement in active wells using fiber optic distributed acoustic sensors", IEEE Sensors J., vol. 20, no. 19, pp. 11499-11507, Oct. 2020.
18.
K. Maru and Y. Fujii, "Laser Doppler velocimetry for two-dimensional directional discrimination by monitoring scattered beams in different directions", IEEE Sensors J., vol. 11, no. 2, pp. 312-318, Feb. 2011.
19.
M. Norgia, A. Pesatori and L. Rovati, "Self-mixing laser Doppler spectra of extracorporeal blood flow: A theoretical and experimental study", IEEE Sensors J., vol. 12, no. 3, pp. 552-557, Mar. 2012.
20.
K. Nishihara et al., "Development of a wireless sensor for the measurement of chicken blood flow using the laser Doppler blood flow meter technique", IEEE Trans. Biomed. Eng., vol. 60, no. 6, pp. 1645-1653, Jun. 2013.
21.
Z. Xiang, Q. Wang, R. Huang, S. Jin, X. Nie and J. Zhou, "Online calibration method for pitch-independent laser Doppler velocimeter based on improved integrated navigation model", IEEE Trans. Instrum. Meas., vol. 72, pp. 1-13, 2023.
22.
V. Virdyawan and F. R. Y. Baena, "A long short-term memory network for vessel reconstruction based on laser Doppler flowmetry via a steerable needle", IEEE Sensors J., vol. 19, no. 23, pp. 11367-11376, Dec. 2019.
23.
L. Simon, O. Richoux, A. Degroot and L. Lionet, "Laser Doppler velocimetry for joint measurements of acoustic and mean flow velocities: LMS-based algorithm and CRB calculation", IEEE Trans. Instrum. Meas., vol. 57, no. 7, pp. 1455-1464, Jul. 2008.
24.
U. Sharma, G. Chen, J. U. Kang, I. Ilev and R. W. Waynant, "Fiber optic confocal laser Doppler velocimeter using an all-fiber laser source for high resolution measurements", Opt. Exp., vol. 13, no. 16, pp. 6250, 2005.
25.
X. Zhang, L. Zhao, C. Ma, G. Jiao and K. Xu, "Development and performance of a photoelectric salt concentration sensor", IEEE Sensors J., vol. 18, no. 4, pp. 1694-1702, Feb. 2018.
26.
J.-M. Cabaleiro, T. Paillat, G. Artana and G. Touchard, "Flow electrification in turbulent flows of liquids—Comparison of two models for one specific case", IEEE Trans. Ind. Appl., vol. 55, no. 5, pp. 5235-5238, Sep. 2019.
27.
J. H. Hannay, "Radiative transfer: Exact Rayleigh scattering series and a formula for daylight", Proc. Roy. Soc. A Math. Phys. Eng. Sci., vol. 463, no. 2086, pp. 2729-2751, Oct. 2007.
28.
S. Ferson, "Experimental uncertainty estimation and statistics for data having interval uncertainty", May 2007.
29.
M. Bilugali Mahadevaswamy, R. Aradhya and S. R. Jagannathan, "Effect of thermal ageing on electrical mechanical properties of glass fiber reinforced polymer and its impact on service life", Int. J. Polym. Anal. Characterization, vol. 28, no. 5, pp. 433-447, Aug. 2023.

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