Development of a Novel Power Curve Monitoring Method for Wind Turbines and Its Field Tests

被引：64
|
作者：
Park, Joon-Young [1 ]
Lee, Jae-Kyung [1 ]
Oh, Ki-Yong [2 ]
Lee, Jun-Shin [1 ]
机构：
[1] Korea Elect Power Corp, KEPCO Res Inst, Future Technol Lab, Taejon 305380, South Korea
[2] Univ Michigan, Dept Mech Engn, Ann Arbor, MI 48109 USA
来源：
IEEE TRANSACTIONS ON ENERGY CONVERSION | 2014年 / 29卷 / 01期
关键词：
Alarm generation; condition monitoring; fault data queue; power curve; turbine monitoring; wind turbine;
D O I：
10.1109/TEC.2013.2294893
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：
A novel power curve monitoring method for wind turbines was developed to prevent a turbine failure in a wind farm. Compared with the existing methods, this algorithm automatically calculates the power curve limits for power curve monitoring, even when a considerable number of abnormal data are included in wind speed-output power data measured at a wind turbine. In addition, the proposed algorithm automatically generates an alarm message when the wind speed-power data measured at the wind turbine deviate from the power curve limits, particularly considering their degree of deviation from the power curve limits and the cases when the measured data hover between the Warning Zones and the Alarm Zones. We confirmed its effectiveness through its field tests.
引用
收藏
页码：119 / 128
页数：10
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