Refined Simulation of Strong Convective Winds in Jiangsu and Its Application to Tower Level Disaster Prevention and Forecast of Power Grid

Abstract

Severe convective gale is one of the main factors affecting power grid security. In order to improve the accuracy of the meteorological numerical model for predicting that and provide a reliable basis for decision-making of disaster prevention, we use CALMET dynamic downscaling technology based on WRF model to simulate the regional wind field in Jiangsu, and diagnose the terrain dynamics, slope flow, terrain blocking effect of the wind module. Linear interpolation and the time downscaling of the spline function method are used to construct the WRF-CALMET coupling model, and the 1km resolution simulation of a strong convective gale weather with different scales, namely, the typhoon "Madum" and the tornado in Yancheng, which affect the power grid security in Jiangsu Province, is realized. The simulation results show that the combination of CALMET downscaling technology and WRF model well simulate the 1km wind field under the background of strong convective weather in Jiangsu Province, and the accuracy of transmission line towers covered by a single grid point increases by 10 times. Compared to traditional meteorological forecasting models, this method has more accurate characterization of gale disasters on small-scale and mesoscale, and meet the needs of the power grid for fine prediction of catastrophic weather.