Analysis of Problems in Wind Power Generation Based on Artificial Intelligence

被引：0
|
作者：
Zhang, Jia-Jun [1 ]
Zhang, Xin-Yan [1 ,2 ]
Gao, Liang [1 ]
Tong, Tao [1 ]
机构：
[1] Xinjiang Univ, Coll Elect Engn, Xinjiang, Peoples R China
[2] Xinjiang Univ, Educ Minist Renewable Energy Power Generat & Grid, Engn Res Ctr, Xinjiang, Peoples R China
来源：
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ENERGY DEVELOPMENT AND ENVIRONMENTAL PROTECTION (EDEP 2018) | 2018年 / 174卷
基金：
中国国家自然科学基金;
关键词：
New energy utilization; Artificial intelligence; Wind power generation; Fault diagnosis;
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：
Wind energy is widely used as clean, renewable and mature new energy. However, the inhomogeneity and non-steady state of the operating environment of the wind turbine lead to the randomness of the load, which will cause the fluctuation of the voltage and frequency of the power grid, and affect the power quality of the power grid; the wind turbine will also have various faults, which will cause the unit to stop and reduce the utilization rate of the unit. Artificial intelligence technology can diagnose and predict wind power for wind turbines, so that new energy can be better complemented with traditional hydro thermal power. Finally, an example of fault diagnosis of daily monitoring data of doubly fed induction generator in Dabancheng, Xinjiang is given to demonstrate the application of artificial intelligence technology in wind power generation.
引用
收藏
页码：26 / 30
页数：5
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