南方电网技术2024，Vol.18Issue(6)：51-57,78,8.DOI:10.13648/j.cnki.issn1674-0629.2024.06.007
基于网格型数值天气预报的风电集群日前功率预测方法
Day-Ahead Power Forecasting Method of Wind Cluster Based on Grid Numerical Weather Prediction
摘要
Abstract
The day-ahead power forecasting of wind cluster is one of the important foundations for provincial level or above power dispatching and control centers to make power generation plan and promote wind power consumption.Day-ahead wind power forecast(next 0 to 24 hours)is essentially to build mapping model between numerical weather prediction and actual power.Fully mining the deep mapping relationship between them is an important way to improve the accuracy of wind power prediction.In this paper,grid numerical weather prediction is used to establish wind cluster power forecasting models by using residual network,which mines the correlations between three-dimensional grid meteorological distribution and power.Case studies show that the proposed method is better than the existing mature methods in terms of progressiveness and adaptability.关键词
网格型数值天气预报/离散型数值天气预报/风电集群/日前功率预测Key words
grid numerical weather prediction/discrete numerical weather prediction/wind cluster/day-ahead power forecast分类
信息技术与安全科学引用本文复制引用
邓韦斯,车建峰,汪明清,鲁聪,王皓怀,田伟达,乔宽龙..基于网格型数值天气预报的风电集群日前功率预测方法[J].南方电网技术,2024,18(6):51-57,78,8.基金项目
国家自然科学基金资助项目(52177121) （52177121）
中国南方电网有限责任公司重点科技项目(ZDKJXM20210047). Supported by the National Natural Science Foundation of China(52177121) （ZDKJXM20210047）
the Key Science and Technology Project of China Southern Power Grid Co.,Ltd.(ZDKJXM20210047). （ZDKJXM20210047）
