Analysis of Wind Turbine Wakes Through Time-Resolved and SCADA Data of an Onshore Wind Farm

被引:3
|
作者
Castellani, Francesco [1 ]
Sdringola, Paolo [1 ]
Astolfi, Davide [1 ]
机构
[1] Univ Perugia, Dept Engn, Via G Duranti 93, I-06125 Perugia, Italy
关键词
DATA MINING TECHNIQUES; IMPACT; PERFORMANCE; EFFICIENCY; LOADS;
D O I
10.1115/1.4039347
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
An experimental study is conducted on wind turbine wakes and their effects on wind turbine performances and operation. The test case is a wind farm located on a moderately complex terrain, featuring four turbines with 2MW of rated power each. Two interturbine distances characterize the layout: 4 and 7.5 rotor diameters. Therefore, it is possible to study different levels of wake recovery. The processed data are twofold: time-resolved series, whose frequency is in the order of the hertz, and supervisory control and data acquisition (SCADA) data with 10min of sampling time. The wake fluctuations are investigated adopting a "slow" point of view (SCADA), on a catalog of wake events spanned over a long period, and a "fast" point of view of selected time-resolved series of wake events. The power ratios between downstream and upstream wind turbines show that the time-resolved data are characterized by a wider range of fluctuations with respect to the SCADA. Moreover, spectral properties are assessed on the basis of time-resolved data. The combination of meandering wind and yaw control is observed to be associated with different spectral properties depending on the level of wake recovery.
引用
收藏
页数:6
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