Research on power coefficient of wind turbines based on SCADA data
Research on power coefficient of wind turbines based on SCADA data
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基于SCADA数据的风电机组功率系数研究
DOI：
10.1016/j.renene.2015.08.023
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发表时间：
2016-02
期刊：
影响因子：
8.7
通讯作者：
Xin Long
中科院分区：
文献类型：
--
作者：
Juchuan Dai;Deshun Liu;Li Wen;Xin Long
功率系数Cp是涡轮机设计和运行控制的重要参数。风速是功率系数的基本计算参数。由于风速计固定在机舱上，所以测得的风速与风轮前的风速不同。用直接测得的风速计算功率系数会产生计算误差。本文根据SCADA数据和空气动力学理论，提出了风力机风轮前风速的计算模型。提出了两种计算功率系数的方法。一种是基于统计数据，另一种是基于实时数据。对一台2MW风力涡轮机的实际计算结果表明，如果在最大功率点跟踪（MPPT）期间使用直接测量的风速，则功率系数接近或大于0.593（理论最大值）。经过风速修正后，功率系数降低到0.397，更符合实际。当使用真实的时间数据时，功率系数即使在MPPT的区域中也是时变的，因为风速是时变的，并且风力转子旋转速度调节由于风力转子惯性矩而延迟。
Power coefficientCpis an important parameter for wind turbine design and operational control. Wind speed is the basic calculation parameter of the power coefficient. Since the anemometer is fixed on the nacelle, the measured wind speed is different from the wind speed in front of the wind rotor. Calculation error will produced if the directly measured wind speed is used to calculate the power coefficient. In this paper, a calculation model of the wind speed in front of the wind rotor is presented based on the SCADA data and the aerodynamic theory. Two power coefficient calculation methods are proposed. One is based on the statistical data and the other is based on the real-time data. An actual calculation result for a 2 MW wind turbine shows that the power coefficient is near or greater than 0.593 (the theoretical maximum value) if the directly measured wind speed is used during the maximum power point tracking (MPPT). After wind speed correction, the power coefficient is reduced to 0.397 that is more realistic. When using the real time data, the power coefficient is time-varying even in the region of MPPT, since wind speed is time-varying and the wind rotor rotational speed regulation is delayed due to the wind rotor moment of inertia.
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影响因子：
15.9
作者：
S. Al-Yahyai;Y. Charabi;A. Gastli;S. M. Al-Alawi
通讯作者：
S. Al-Yahyai;Y. Charabi;A. Gastli;S. M. Al-Alawi
影响因子：
10.4
作者：
Hong, Chih-Ming;Chen, Chiung-Hsing;Tu, Chia-Sheng
通讯作者：
Tu, Chia-Sheng
DOI：
10.1109/pess.2001.970114
发表时间：
2001-07
期刊：
2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262)
影响因子：
--
作者：
J. Slootweg;H. Polinder;W. Kling
通讯作者：
J. Slootweg;H. Polinder;W. Kling
影响因子：
15.9
作者：
C. İlkiliç;İsmail Türkbay
通讯作者：
C. İlkiliç;İsmail Türkbay
DOI：
10.1115/1.4005753
发表时间：
2012-05
影响因子：
2.3
作者：
Zijun Zhang;A. Kusiak
通讯作者：
Zijun Zhang;A. Kusiak