Title :
Meteorology features extraction for transmission line icing process based on Kohonen Self-Organizing Maps
Author :
Li, Peng ; Li, Ning ; Cao, Ming
Author_Institution :
Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
Abstract :
How to monitor and predict icing load of power transmission lines are important problems for the reliability of power grid. A method based on Kohonen Self-Organizing Map is presented here to extract the meteorology features for the process of transmission line icing, which are available to forecast the icing disaster of it. According to the results of simulation, the icing process in Tao-Luo-Xiong Line is classified and the meteorology features, which impact the process line icing, can be acquired conveniently.
Keywords :
disasters; feature extraction; freezing; ice; power grids; power system reliability; power transmission lines; self-organising feature maps; Kohonen self-organizing maps; Tao-Luo-Xiong Line; icing disaster forecasting; icing load monitor; icing load predict; meteorology feature extraction; power grid; power transmission lines; reliability; transmission line icing process; Feature extraction; Meteorology; Monitoring; Power grids; Power transmission lines; Self organizing feature maps; Transmission line theory; Transmission lines; Weather forecasting; Wind forecasting; Kohonen Self-Organizing Map; meteorology features; transmission line icing;
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541381
