Conductor Galloping Prediction Method Based on MEMs 3D Dynamic Displacement Sensors

Abstract:

Existed conductor galloping can only analyze the real-time state. There is no effective method to predict the conductor galloping state and alarm if necessary in the future. In order to solve the above problems, a new conductor galloping method based on the MEMs 3Ddynamic displacement sensing network has been proposed and realized. The MEMs dynamic displacement sensor is used to sense the distributed galloping information. The low-power wireless sensor network is deployed to transmit data back to the host quickly and realize the centralized treatment. The three-degree freedom model is built to analyze multi-dimensional displacement in the horizontal, vertical and torsional directions. Finally, the conductor galloping is predicted and early alarmed by using measured information sensed by sensors, the calculated data by mathematical model and some key parameters of future weather. The method proposed in this paper has been validated in practice. The predicted trajectory after 2 hours and the actual conductor galloping trajectory are basically identical. The deviation is less than 0.03 meters. This method realizes conductor galloping prediction. It strongly supports the operation and maintenance management of the transmission Line.

• Periodical: Applied Mechanics and Materials (Volume 667)
• Pages: 328-333
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.667.328
• Online since: October 2014
• Authors: Zi Guan Zhou*, Wen Jing Li, Qing Wu, Yun Di Wang, Zhu Liu, Yan Zhen
• Keywords: Conductor Galloping, Micro-Electro-Mechanical Systems Technology, Three-Degree Freedom Model

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DOI: 10.1006/jsvi.1995.0278