Li Xinye

Dr. Li Xinye

north china electric power university

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 August 2020 in Sensors
Verified
Journal Article
Open access
PDF file
YLYunpeng Liu
Yunpeng Liu
Li XinyeLi Xinye
Li Xinye
HLHuan Li
Huan Li
XFXiaozhou Fan
Xiaozhou Fan
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.

18 August 2020 in Applied Sciences
Verified
Journal Article
Open access
PDF file
YLYunpeng Liu
Yunpeng Liu
Li XinyeLi Xinye
Li Xinye
HLHuan Li
Huan Li
JWJiaxue Wang
Jiaxue Wang
XFXiaozhou Fan
Xiaozhou Fan
To accurately detect and monitor the internal temperature of an operating power transformer, the distributed optical fiber sensor (DOFS) was creatively applied inside an oil-immersed 35 kV transformer through high integration with the winding wire. On the former basis, the power transformer prototype with a completely global internal temperature sensing capability was successfully developed and it was also qualified for power grid operation through the ex-factory type tests. The internal spatially continuous temperature distribution of the operating transformer was then revealed through a heat-run test and the numerical simulation was also applied for further analysis. Hotspots of windings were continuously located and monitored (emerging at about 89%/90% height of low/high voltage winding), which were furtherly compared with the IEC calculation results. This new nondestructive internal sensing method shows a broad application prospect in the electrical equipment field. Also, the revelation of transformer internal distributed temperature can offer a solid reference for both researchers and field operation staff.

1 September 2019
Verified
Conference Paper
Closed access
YLYunpeng Liu
Yunpeng Liu
JYJunyi Yin
Junyi Yin
Li XinyeLi Xinye
Li Xinye
XFXiaozhou Fan
Xiaozhou Fan
In order to apply distributed optical fibre sensing technology to transformer winding temperature monitoring, the temperature detection of transformer windings based on different laying methods was studied. The slotted and pasted transformer winding wire models were designed and fabricated respectively. The electromagnetic wire structure and the winding process had been correspondingly improved. The local temperature rise test was carried out and the temperature distribution was monitored and evaluated. The results show that the distributed optical fibre measurement results of the slotted wire have larger errors, the engineering implementation is more complicated and the original structure of the winding has been changed greatly, whereas the measurement result of the pasted wire is more accurate. The pasted wire is more suitable for transformer winding temperature monitoring.