Abstract

The icing of power grid has great influence on the safe and stable operation of power grid. Under the background of global warming, the frequency and duration of grid line icing events have increased. Under the influence of warm and humid air flow and special terrain in winter, it is very easy to have ice cover in Hunan Province. From the winter of 2021 to the spring of 2022, Hunan experienced five rounds of grid line icing, and the icing event lasted for more than three days totally. In this study, a global numeric weather forecast model with a resolution of 10 km is used to explore its prediction performance for the ice events at the end of January 2022 (27–29th January). The results show that it has a good prediction performance for the ice cover in Hunan, and the spatial distribution characteristics of the ice cover can be predicted 6 days in advance, although the intensity is slightly weak. A test also shows that the ability to predict heavy icing events can be improved by fusing icing observation information at the initial time of icing prediction, which emphasizes the importance of icing observation to icing prediction.

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