摘要
主要介绍了基于趋势分析的内蒙古电网风电功率超短期预测系统的研究与应用情况.这一系统将物理方法与统计方法相结合,单个风电场基于历史数据、实时数据与未来的气象预报数据进行学习与预测,区域预测考虑整个区域空间分布的所有实时测风资料,进行空间相关分析.研究结果表明,该系统预测精度高,完全满足电网调度要求.
The research and application of ultra short term wind power forecasting system based on trend analysis are introduced. The physical and statistical methods combined are applied in this system,the power forecasting of single wind farm is based on historical data,real-time data and fu- ture weather forecast data for learning and prediction,while ries on the spatial correlation analysis, considering the spatial R di h d e regional wind power prediction car- istrihution of all real-time wind data. esearch results show that the prediction system for high precision, fully satisfy the requirements of spatching for Inner Mongolia Power Grid.
出处
《内蒙古大学学报（自然科学版）》
CAS
北大核心
2016年第1期96-101,共6页
Journal of Inner Mongolia University：Natural Science Edition
基金
国家自然科学基金(No.2015000116)
关键词
趋势预测
相关分析
支持向量机
灰色关联
trend analysis
correlation analysis
support vector machine
grey relation
