DocumentCode
560702
Title
Mechanical monitoring and risk assessment under ice disaster based on wireless sensor network
Author
Liu, Yingtong ; Yin, Xianggen ; Xu, Jian ; Li, Zhenxing
Author_Institution
State Key Lab. of Adv. Electromagn. Eng. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
2
fYear
2011
fDate
8-9 Sept. 2011
Firstpage
229
Lastpage
232
Abstract
Ice disaster has becoming a significant threat to power system security since recent years. Wireless sensor networks guarantee reliability of information communication under ice disasters, due to their self-organization and the advantage that master stations are not involved. It is recommended to be applied on power grid structure security monitoring and assessment. It is proposed that different type of sensor nodes should be settled on overhead transmission lines, to comprehensively monitor mechanical status of a certain area. A two-layer sensor network model is presented for overcoming the communication range limitations of sensor nodes. Using the data obtained, a novel power system financial risk assessment method is proposed to balance the probability and seriousness of icing caused supports break, which helps grid structure progress in a long term.
Keywords
power grids; power overhead lines; power system management; power system measurement; power system reliability; power system security; risk management; wireless sensor networks; ice disaster; information communication; mechanical monitoring; overhead transmission lines; power grid structure security monitoring; power system financial risk assessment method; power system security; sensor nodes; two-layer sensor network model; wireless sensor network; Accidents; Conductors; Ice; Meteorology; Monitoring; Poles and towers; Wireless sensor networks; Gumbel Extreme Distribution; Ice Disaster; Overhead Transmission Lines; Risk Assessment; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9691-4
Type
conf
DOI
10.1109/PEAM.2011.6134944
Filename
6134944
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