Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering

Traditional monitoring methods cannot obtain the overall thermal information for power transformers. To solve this problem, a distributed fiber optic sensor (DFOS) was creatively applied inside an operating 35 kV power transformer by highly integrating with the electromagnetic wires. Then, the trans...

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Main Authors: Yunpeng Liu, Xinye Li, Huan Li, Xiaozhou Fan
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/17/4903
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spelling doaj-89f58e065dbe409f93ad047017a7421d2020-11-25T03:49:36ZengMDPI AGSensors1424-82202020-08-01204903490310.3390/s20174903Global Temperature Sensing for an Operating Power Transformer Based on Raman ScatteringYunpeng Liu0Xinye Li1Huan Li2Xiaozhou Fan3State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, ChinaTraditional monitoring methods cannot obtain the overall thermal information for power transformers. To solve this problem, a distributed fiber optic sensor (DFOS) was creatively applied inside an operating 35 kV power transformer by highly integrating with the electromagnetic wires. Then, the transformer prototype with totally global sensing capability was successfully developed and it was qualified for power grid application through the strict ex-factory tests. The as designed optical fiber sensor works stably all the time with a temperature accuracy of ±0.2 °C and spatial positioning accuracy of 0.8 m. Based on the obtained internal temperature distribution, Gaussian convolution was further applied for the signal processing and hereby, the hotspots for all the windings and iron cores could be accurately traced. The hottest points were located at 89.1% (55 °C) of the high voltage winding height and 89.7% (77.5 °C) of the low voltage winding height. The actual precise hotspot location corrected the traditional cognition on the transformer windings and it would serve as an essential reference for the manufactures. This new nondestructive internal sensing and condition monitoring method also exhibits a promising future for the DFOS applying in the high-voltage electrical apparatus industry.https://www.mdpi.com/1424-8220/20/17/4903power transformercondition monitoringglobal sensing capabilityhotspot location
collection DOAJ
language English
format Article
sources DOAJ
author Yunpeng Liu
Xinye Li
Huan Li
Xiaozhou Fan
spellingShingle Yunpeng Liu
Xinye Li
Huan Li
Xiaozhou Fan
Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering
Sensors
power transformer
condition monitoring
global sensing capability
hotspot location
author_facet Yunpeng Liu
Xinye Li
Huan Li
Xiaozhou Fan
author_sort Yunpeng Liu
title Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering
title_short Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering
title_full Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering
title_fullStr Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering
title_full_unstemmed Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering
title_sort global temperature sensing for an operating power transformer based on raman scattering
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-08-01
description Traditional monitoring methods cannot obtain the overall thermal information for power transformers. To solve this problem, a distributed fiber optic sensor (DFOS) was creatively applied inside an operating 35 kV power transformer by highly integrating with the electromagnetic wires. Then, the transformer prototype with totally global sensing capability was successfully developed and it was qualified for power grid application through the strict ex-factory tests. The as designed optical fiber sensor works stably all the time with a temperature accuracy of ±0.2 °C and spatial positioning accuracy of 0.8 m. Based on the obtained internal temperature distribution, Gaussian convolution was further applied for the signal processing and hereby, the hotspots for all the windings and iron cores could be accurately traced. The hottest points were located at 89.1% (55 °C) of the high voltage winding height and 89.7% (77.5 °C) of the low voltage winding height. The actual precise hotspot location corrected the traditional cognition on the transformer windings and it would serve as an essential reference for the manufactures. This new nondestructive internal sensing and condition monitoring method also exhibits a promising future for the DFOS applying in the high-voltage electrical apparatus industry.
topic power transformer
condition monitoring
global sensing capability
hotspot location
url https://www.mdpi.com/1424-8220/20/17/4903
work_keys_str_mv AT yunpengliu globaltemperaturesensingforanoperatingpowertransformerbasedonramanscattering
AT xinyeli globaltemperaturesensingforanoperatingpowertransformerbasedonramanscattering
AT huanli globaltemperaturesensingforanoperatingpowertransformerbasedonramanscattering
AT xiaozhoufan globaltemperaturesensingforanoperatingpowertransformerbasedonramanscattering
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