An Overhead Conductor Weighing Sensor Based on Fiber Bragg Grating

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Abstract:

Snow and ice disasters on power system safe and reliable operation of the transmission line has a great threaten.An overhead conductor tension sensor based on fiber Bragg grating is developed.The sensor contains a strain sensor module and a temperature compensation module which can offer temperature compensation for strain sensing module.The sensor connected to the tower and the insulator with metallic clamps.If there is ice on the transmission line,the tension of the sensor sensing module of the center wavelength will corresponding change,and the ice condition of the transmission wires can be reflected by the center wavelength variation.Experiment indicates that the tension sensitivity coefficient of the sensor is 9.8 pm/kN,the repeatability error is 1.78% FS,the nonlinear error is2.4% FS, the hysteresis is 1.5% FS.

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32-38

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November 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Dejun Shao, Xianggen Yin, Qingqian Chen, et al. Analysis of Snow disaster in 2008 in China southern power grid[J]. Power System Technology, 2009, 33(05): 38-43.

Google Scholar

[2] Wenliang Chen, Yongqing Yu, Zhiyi Su, et al. Survey of Hunan power grid snow disaster in 2008[J]. Power System Technology, 2008, (08): 1-5.

Google Scholar

[3] Lozowski EP, Makkonen L. Fifty years of progress in modelling the accumulation of atmospheric ice on power network equipment[C]. Proceeding of the 11th int workshop on Atmospheric icing of Structures, Montreal, QC, Canada, 2005: 55-62.

DOI: 10.1007/978-1-4020-8531-4_3

Google Scholar

[4] Kowles J. A Discussion of icing Rate Measurement and the Rosemonnt Icing Rate System. Rosemount Rep., 67312A, 18, (1973).

Google Scholar

[5] McComber P, Lafontaine JD, Druez J, et al. A comparison of neural network and multiple regression transmission line icing models[C]. Progressing of 7th International Workshop on. Atmospheric Icing of Structures, Reykjavik, Iceland, 1998: 175-180.

Google Scholar

[6] Savadjiev K, Farzaneh M. Analysis and interpretation of icing rate meter and load cell measurements on the Mt. Belair icing site[C]. Proceedings of the 9th Int Offshore Polar Eng Conf, Brest, France, 1999: 607-611.

Google Scholar

[7] Moser M, Zangl H, Bretterklieber T, er al. An autonomous sensor system for monitoring of high voltage overhead power supply lines[J]. Electrotechnik und Information stechnik, 2009, 126(5); 214-219.

DOI: 10.1007/s00502-009-0637-1

Google Scholar