The Intelligent Methods Used in Prediction the Wind Speed and Output Power of Wind Farm

被引：0

作者：

Zhang, Xinyan ^{[1
]}

Chen Chongchong ^{[1
]}

Wang, Weiqing ^{[1
]}

Dai, Yi ^{[2
]}

机构：

[1] Xinjiang Univ, Sch Elect Engn, Urumqi, Peoples R China

[2] Wind Power Co Xinjiang, China Energy Conservat Corp, Urumqi, Peoples R China

来源：

2012 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2012年

关键词：

wind speed; wind power; prediction; neural network; supported vector machine;

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：

The wind speed and wind power of wind farm prediction become more and more important as the increasing installation of wind turbines and the establishment of the large scall wind farms. Because the stochastic and intermittent property of wind speed, the prediction problem is very difficalt to solve. The prediction method using BP neural network, wavelet BP neural network, and supported vector machine was studied in this paper. The simulation results shows that the method used in this paper can give a better prediction, but there is still more other algorithm need to be studied to enhance the prediction precision.

引用

页数：4

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