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基于拉曼散射的变压器绕组光纤复合线的设计与性能测试

Design and Performance Test of Transformer Winding Optical Fibre Composite Wire Based on Raman Scattering.

作者信息

Liu Yunpeng, Yin Junyi, Tian Yuan, Fan Xiaozhou

机构信息

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China.

Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defence, North China Electric Power University, Baoding 071003, China.

出版信息

Sensors (Basel). 2019 May 10;19(9):2171. doi: 10.3390/s19092171.

DOI:10.3390/s19092171
PMID:31083340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6539279/
Abstract

Winding overheating is a common fault in a transformer. To detect the temperature, the most widely used method is a point-type measurement, but traditional measurement methods cannot obtain the whole temperature distribution in a transformer. Taking this into consideration, a new method with which to measure the temperature of transformer windings was proposed. Based on Raman scattering, a new fibre-optic composite winding model was developed. The feasibility of the model was verified by electrical as well as temperature, field simulation and power frequency resistance testing. To assess the practicality and accuracy of the new model, a distributed optical fibre temperature measurement platform was built, and a series of experiments were designed. According to the data collected, the temperature measurement error based on the method could be limited to 1 °C while the positioning accuracy error was within 1 m, which meant that the new approach can satisfy the requirements of transformer winding temperature measurement and locate hot spots in the winding.

摘要

绕组过热是变压器中的常见故障。为了检测温度,应用最广泛的方法是点式测量,但传统的测量方法无法获取变压器内的整体温度分布。考虑到这一点,提出了一种测量变压器绕组温度的新方法。基于拉曼散射,开发了一种新型光纤复合绕组模型。通过电场、温度场模拟以及工频电阻测试验证了该模型的可行性。为了评估新模型的实用性和准确性,搭建了分布式光纤温度测量平台,并设计了一系列实验。根据收集到的数据,基于该方法的温度测量误差可限制在1℃以内,而定位精度误差在1米以内,这意味着新方法能够满足变压器绕组温度测量的要求,并能定位绕组中的热点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/33307a26132f/sensors-19-02171-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/4360dbe6c1de/sensors-19-02171-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/4c5a348693d2/sensors-19-02171-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/8e41d51765b2/sensors-19-02171-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/ae7e03715203/sensors-19-02171-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/0f61c5b94b59/sensors-19-02171-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/240bdab1b320/sensors-19-02171-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/d67ee2d5a634/sensors-19-02171-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/33307a26132f/sensors-19-02171-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/bdb8aadb74a2/sensors-19-02171-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/b55dce7f809f/sensors-19-02171-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/a908d49e0a0d/sensors-19-02171-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/109942e2f55b/sensors-19-02171-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/dac3e50f4bce/sensors-19-02171-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/05dad34d93e9/sensors-19-02171-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/4360dbe6c1de/sensors-19-02171-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/4c5a348693d2/sensors-19-02171-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/8e41d51765b2/sensors-19-02171-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/ae7e03715203/sensors-19-02171-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/0f61c5b94b59/sensors-19-02171-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/240bdab1b320/sensors-19-02171-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/d67ee2d5a634/sensors-19-02171-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc1a/6539279/33307a26132f/sensors-19-02171-g014.jpg

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本文引用的文献

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A Feasibility Study of Transformer Winding Temperature and Strain Detection Based on Distributed Optical Fibre Sensors.基于分布式光纤传感器的变压器绕组温度及应变检测的可行性研究。
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2
Fiber waveguides: a novel technique for investigating attenuation characteristics.光纤波导:一种用于研究衰减特性的新技术。
Appl Opt. 1976 Sep 1;15(9):2112-5. doi: 10.1364/AO.15.002112.