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

Volume

2

fYear

2010

fDate

25-27 June 2010

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCDA.2010.5541381

Filename

5541381