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风电集群短期及超短期功率预测是提升电网健壮性的有力手段。该文总结国内外风电集群短期与超短期功率预测技术的现状，从集群和单个风电场两个方面，归纳风电功率预测技术的分类；从预测流程、数据来源、数据流向、物理层次4个方面论述风电集群功率预测系统的整体框架；提出具有泛化意义的风电功率预测的物理层次结构，并从数据层、映射层、特征层、模型层、反馈层5个不同的层面讨论风电功率预测技术的精度提升方法及其发展方向，对短期、超短期风电功率预测、集群功率预测的研究具有一定参考价值。“,”Short-term and ultra-short-term wind power prediction (WPP) in regions is an effective method to enhance the robustness of the power grid. The state of the art of short-term and ultra-short-term WPP techniques was summarized in the paper. The classification of WPP techniques was discussed, in terms of prediction method of single wind farm and regions. The overall framework of the regional WPP system was discussed in four aspects, including the forecasting flow chart, data sources, data flows and the physical levels. Generalization physical layers of wind power forecasting was presented in five levels, data layer, mapping layer, feature layer, methodology layer, and feedback layer, based on which the improvement methods for WPP were discussed. The proposed improvement methods for the five physical levels of WPP will contribute to both short-term and ultra-short-term WPP in regions.