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

来源：

INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3 | 2013年 / 336-338卷

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

页码：764 / +

页数：3

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