DocumentCode
3210269
Title
Expert System of Ice Prevention on Overhead Transmission Lines
Author
Gu, Xiaosong ; Wang, Hanqing ; Liu, Heyun ; Zhao, Litie ; Li, Heng
Author_Institution
Sch. of Energy & Sci. Eng., Central South Univ., Changsha, China
Volume
2
fYear
2010
fDate
11-12 May 2010
Firstpage
273
Lastpage
276
Abstract
The ice storm of 2008 in south-central China caused much damage to overhead transmission lines, the electrical installations and railway contact conductors. An expert system of ice prevention on overhead transmission lines is developed to predict the ice type (rime or glaze) and anti-icing current intensity based on the meteorological parameters such as air temperature, liquid water content, mean volume diameter of droplets and wind speed which can be obtained by respective sensors. The freezing fraction is used to decide the ice type and anti-icing current intensity is defined based on heat balance equation of conductor surface. Under labview platform, data acquisition board is used to gather physical signals from various sensors that are transmitted to computers and processed by the decision-making model. This expert system can provide reliable suggestions for electrical engineers to prevent icing on transmission lines.
Keywords
data acquisition; decision making; expert systems; freezing; ice; meteorology; power engineering computing; power transmission lines; storms; transmission lines; virtual instrumentation; China; antiicing current intensity; data acquisition; decision making model; expert system; freezing fraction; heat balance equation; ice prevention; labview platform; meteorological parameter; overhead transmission line; Conductors; Contacts; Expert systems; Glazes; Ice; Meteorology; Power transmission lines; Rail transportation; Storms; Temperature sensors; expert system; ice prevention; overhead transmission lines;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.765
Filename
5523593
Link To Document