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.
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页数：4
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