Danger Classes Detection System Design of High Voltage Transmission Conductor Galloping

Article Preview

Abstract:

Conductor galloping is a kind of phenomenon which is harmful to electric power equipment. If conductor galloping is found and risk assessment is made timely, it can greatly reduce the possibility of line short, open circuit. Currently, it is mainly rely on the way of manual inspection, in which there exists the monitoring blind area. In this paper, an intelligent danger classes detection system design method of conductor galloping based on S3C2410 and CC2530 meter data collecting and processing module. It is mainly responsible for the collection of abnormal accelerated speed information and abnormal recognition of power conductor, and the data through the Zigbee network are transmitted to the control center. The principal computer constituted by software is responsible for the information management, danger classes division of conductor galloping, and giving an alarm. The actual test proves that the system has a higher accuracy of assessment, stable performance and better robustness.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3631-3634

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Guo Yinglong, Li Guoxing, You Chuanyong. Transmission line galloping [M] Beijing: China Electric Power Press, 2003. 6. 68-71.

Google Scholar

[2] Xu Min. The Analysis of RFID Architecture and Application in Internet of Things [J] Bulletin of Science and Technology, 2013, 12 (29): 139-141.

Google Scholar

[3] Jiang Xingliang, Sun Caixin, Wang Shaohua. Study Status of Conductor Galloping on Transmission Line [J] High Voltage Engineering, 2005, 31 (10): 11-14.

Google Scholar

[4] Wang Cangzhu, Yang Xiaohong. Vibration of Electric Power Lines and Its Countermeasures [J]. Information on electric power, 2002, (1): 69-70.

Google Scholar

[5] Xu Shaobo, Liu Yi'an, Tang Shuangtian, Wu Shaopeng. Radar Radiating Signal Feature Extraction and Recognition. [J]. Computer Simulation, 2011, 28 (6): 34-37.

Google Scholar