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
相关论文
共 90 条
  • [11] Chen N., Wang Q., Yao L., Et al., Wind power forecasting error-based dispatch method for wind farm cluster, Journal of Modern Power Systems and Clean Energy, 1, 1, pp. 65-72, (2013)
  • [12] Wang C., Liang J., Zhang L., Et al., Classified treatment of wind power predictive power based on chance constrained programming, Automation of Electric Power Systems, 35, 17, pp. 14-19, (2011)
  • [13] Wang H., He C., Fang G., Et al., A gradual optimization model of dispatching schedule taking account of wind power prediction error bands, Automation of Electric Power Systems, 35, 22, pp. 131-135, (2011)
  • [14] Liu D., Guo J., Huang Y., Et al., Dynamic economic dispatch of wind integrated power system based on wind power probabilistic forecasting and operation risk constraints, Proceedings of the CSEE, 33, 16, pp. 9-15, (2013)
  • [15] Nan X., Li Q., Zhao Y., Et al., An economic dispatch and decision making method based on credibility of wind power forecasting, Automation of Electric Power Systems, 37, 19, pp. 61-67, (2013)
  • [16] Wu Z., Wang T., Deviation management of wind power prediction and decision-making of wind power bidding, Power System Technology, 35, 12, pp. 160-164, (2010)
  • [17] Matevosyan J., Soder L., Minimization of imbalance cost trading wind power on the short-term power market, IEEE Trans on Power Systems, 21, 3, pp. 1396-1404, (2006)
  • [18] Wu D., Wang Y., Guo C., Et al., An economic dispatching model considering wind power forecast errors in electricity market environment, Automation of Electric Power Systems, 36, 6, pp. 23-28, (2012)
  • [19] Ye L., Zhao Y., A review on wind power prediction based on spatial correlation approach, Automation of Electric Power Systems, 38, 14, pp. 126-135, (2014)
  • [20] Cheng Y., Sun R., Wu Z., Et al., A regional wind power forecasting method based on statistical upscaling approach, Automation of Electric Power Systems, 37, 7, pp. 1-5, (2013)
123456789