Title :
Relationships among transmission line icing and meteorological factors based on the grey relational analysis
Author :
Hui Dong ; Qiping Yang ; Zhengwen Deng ; Danfeng Xu
Author_Institution :
Sch. of Electr. Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
This paper describes the studies of the transmission line icing in recent years. Because the correlations among transmission line icing and meteorological factors are poor and the main influential factors can not be determined, they are often limited to qualitative description. In this paper, a synthetic grey relational analysis method is proposed. According to the transmission line online monitoring data, the associate degree among transmission line icing and meteorological factors would be determined, and to obtain the main meteorological influential factor during the icing monitoring period. Further, the example is used to prove that the application of the synthetic grey relational analysis method to study on the icing and meteorological factors is feasible and effective.
Keywords :
freezing; grey systems; ice; meteorology; power transmission lines; icing monitoring period; main meteorological influential factor; meteorological factor; qualitative description; synthetic grey relational analysis method; transmission line icing; transmission line online monitoring data; Humidity; Meteorological factors; Power transmission lines; Temperature; Wind speed; Wires; degree of incidence; icing; meteorological factors; synthetic grey relational analysis; transmission line;
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
DOI :
10.1109/PEAM.2012.6612426