Research on New Energy Power Forecast and Meteorological Disaster Warning Platform

Abstract

With the large-scale grid connected operation of new energy power plants, the safe operation of grid and new energy power plants has been faced with unprecedented challenges, especially the influence of meteorological conditions. Due to the inherent volatility of new energy, accurate prediction of generation power can effectively reduce the impact on the electricity grid system. In order to improve the prediction accuracy, a dynamic meteorological element correction method considering multiple meteorological elements is introduced, and a centralized power forecasting platform is established. At the same time, due to the frequent occurrence of extreme weather events in recent years, such as wind fan icing, lightning gale, hail, mountain torrents and so on, all of them have brought challenges to the safe operation of new energy power plants, so a fan icing warning model has been developed. Based on the Internet automatic published information plantform of meteorological disaster has established which greatly reduced the loss of power plants caused by the extreme weather.