Title :
Research on power transmission line ice prediction system based on BP Neural Network
Author :
Luo, Yi ; Yao, Yi ; Li, Ying ; Zhan, Xu
Author_Institution :
Dept. of Electron. Eng., Sichuan Univ. of Since & Eng., Zigong, China
Abstract :
As for the great damage to the power grid caused by the ice covered on the transmission Line, there is no proper solution to the problem; this paper presents a transmission line ice monitoring and early warning system based on Neural Network. The system organically combines meteorological information and forecast meteorological information of Ganzi area, taking the wire tension, tilt angle, micro-geographical factors into account, even the decision support system (DSS) is introduced into the system. The system make the appropriate dangerous ice monitoring and forecasting caused by weather conditions by recording a large number of meteorological information and transmission line parameters, so that preventive measures will be taken if the problem occurs, and the harmful levels of ice will be declined.
Keywords :
alarm systems; backpropagation; decision support systems; ice; monitoring; neural nets; power engineering computing; power grids; power transmission lines; BP neural network; DSS; Ganzi area; decision support system; early warning system; forecast meteorological information; micro-geographical factors; power grid; power transmission line ice prediction system; tilt angle; transmission line ice monitoring; transmission line parameters; weather conditions; wire tension; Clouds; Forecasting; MATLAB; Monitoring; BP neural network; L-M algorithm; UHV transmission line; ice accretion; prediction;
Conference_Titel :
Measurement, Information and Control (MIC), 2012 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1601-0
DOI :
10.1109/MIC.2012.6273414