The Study of Wind Power Combination Prediction

被引：0

作者：

Han, Shuang ^{[1
]}

Liu, Yongqian ^{[1
]}

机构：

[1] North China Elect Power Univ, Renewable Energy Sch, Beijing, Peoples R China

来源：

2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2010年

基金：

国家高技术研究发展计划(863计划);

关键词：

wind power; combination prediction; the maximum entropy principle;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

According to the maximum entropy principle and the characteristic of wind farm power series, a combined wind power prediction model was proposed. The wind power series is non-gauss distribution, so high central moment were added to prediction model besides the second central moment. The prediction results showed that the proposed model can improve the prediction precision.

引用

页数：4

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