电力系统自动化2025，Vol.49Issue(17)：1-20,20.DOI:10.7500/AEPS20240227001
面向新型电力系统的数值天气预报技术及应用综述
Review on Technologies and Applications of Numerical Weather Prediction for New Power System
摘要
Abstract
The main task of the new power system is to build a high proportion of renewable energy supply and consumption system,and the operation law of its source,grid,load and energy storage is closely related to meteorological changes.The operation and scheduling,planning and design,disaster prevention and reduction,and other aspects of the power grid all need to consider the influence of weather.The integration and development of the two disciplines of electricity and meteorology have become inevitable.However,currently,there is little literature that systematically reviews the key technologies and applications of numerical weather prediction of new power systems.This paper first summarizes the key technologies of numerical weather prediction from four aspects:meteorological observation,quality control,data assimilation,and numerical modeling.Secondly,typical application scenarios and methods of numerical meteorology are summarized from three aspects:source-load power prediction,wind and solar resource assessment,and power grid disaster warning.Finally,the unique requirements of the new power system for the accuracy,timeliness,and precision of numerical weather prediction are analyzed.The shortcomings of numerical weather prediction technologies in electricity demand are discussed,as well as the contradictions and promoting relationships between key technology improvements driven by demand.The key research directions for the integration and development of electricity and meteorology disciplines in the future are discussed in terms of data,mode,and platform construction.关键词
新型电力系统/数值天气预报/气象/应用场景Key words
new power system/numerical weather prediction/meteorology/application scenario引用本文复制引用
杨明,李梦林,王勃,刘纯,于一潇,王传琦..面向新型电力系统的数值天气预报技术及应用综述[J].电力系统自动化,2025,49(17):1-20,20.基金项目
国家重点研发计划资助项目(2022YFB2403000). This work is supported by National Key R&D Program of China(No.2022YFB2403000). （2022YFB2403000）
