Short-term Power Forecasting of Small-scale hydropower based on Projection Pursuit Algorithm

被引:0
|
作者
Liu, Wenxia [1 ]
Zhou, Xi [1 ]
Xu, Xiaobo [1 ]
Xu, Meimei
机构
[1] North China Elect Power Univ, Transmiss & Distribut Syst Res Inst, Beijing, Peoples R China
关键词
Small-scale hydropower; Short-term Power Forecasting; Projection Pursuit Algorithm; Threshold Regression Model;
D O I
10.4028/www.scientific.net/AMM.336-338.764
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Compared with other traditional energy, the small-scale hydropower which is intermittent energy can not be stored and scheduled. The greater fluctuant of the output power of small-scale hydropower leads to great difficult to the operation of the power system. Most of the existing small-scale hydropower forecasting is considered as the load forecasting factors, and there is not effective forecasting method. This paper establishes an output power forecasting model of the small-scale hydropower based on Projection Pursuit. The simulation results show that the new algorithm has a strong practical application in the small-scale hydropower output power forecasting and the forecast accuracy meets the scheduling requirements.
引用
收藏
页码:764 / +
页数:3
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