An Ice Accretion Forecasting System (IAFS) for Power Transmission Lines Using Numerical Weather Prediction

被引:21
|
作者
Musilek, Petr [1 ]
Arnold, Dan [1 ]
Lozowski, Edward P. [2 ]
机构
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2V4, Canada
[2] Univ Alberta, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2V4, Canada
来源
SOLA | 2009年 / 5卷
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.2151/sola.2009-007
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Power transmission networks are exposed to meteorological conditions that can often cause damage resulting in temporary loss of service. Because their reliability is of crucial importance to society, the ability to predict potential hazards in advance is of great interest. Studies conducted by the power transmission industry indicate that the majority of failures is caused by icing on overhead conductors and other components of power networks. This paper outlines an ice accretion forecasting system (IAFS) that uses a state-of-the-art, mesoscale, numerical weather prediction model, augmented by a precipitation type classifier, and an ice accretion model. The system is calibrated by hind-casting a well-documented freezing rain event in the United States, in December, 2002. Results indicate that IAFS can hindcast overall ice thicknesses as well as icing models can diagnose them using observed surface meteorological conditions.
引用
收藏
页码:25 / 28
页数:4
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