A review on short-term and ultra-short-term wind power prediction

被引：62
|
作者：
Xue, Yusheng [1 ,2 ]
Yu, Chen [1 ,2 ]
Zhao, Junhua [3 ]
Li, Kang [4 ]
Liu, Xueqin [4 ]
Wu, Qiuwei [5 ]
Yang, Guangya [5 ]
机构：
[1] NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing
[2] School of Automation, Nanjing University of Science and Technology, Nanjing
[3] College of Electrical Engineering, Zhejiang University, Hangzhou
[4] Queen's University Belfast, Northern Ireland
[5] Technical University of Denmark, Lyngby
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2015年 / 39卷 / 06期
关键词：
Combinational prediction; Evaluation index; Information flow; Probabilistic forecasting; Wind power prediction;
D O I：
10.7500/AEPS20141218003
中图分类号：
学科分类号：
摘要：
The impact of wind power prediction (WPP) on power systems is discussed and the factors affecting the accuracy of WPP are summarized. Then the paper unscrambles the WPP process from the viewpoint of information flow, classifies its research status and discusses the requirements of evaluation index for WPP results. It is proposed that the error evaluation index should reflect the WPP quality of the whole time window, and possible breakthroughs of WPP are also predicted. ©, 2015, State Grid Electric Power Research Institute Press. All right reserved.
引用
收藏
页码：141 / 151
页数：10
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