Effect investigation of yaw on wind turbine performance based on SCADA data

被引:50
作者
Dai, Juchuan [1 ]
Yang, Xin [1 ]
Hu, Wei [1 ]
Wen, Li [1 ]
Tan, Yayi [2 ]
机构
[1] Hunan Univ Sci & Technol, Sch Mech Engn, Xiangtan 411201, Peoples R China
[2] XEMC Windpower Co Ltd, Xiangtan 411000, Peoples R China
关键词
Wind turbines; Yaw operation; SCADA data; Power coefficient; KERNEL DENSITY-ESTIMATION; OFFSHORE WIND; WAKE; LOADS; GENERATION; OPTIMIZATION; DESIGN; BLADES; ERROR; MODEL;
D O I
10.1016/j.energy.2018.02.059
中图分类号
O414.1 [热力学];
学科分类号
摘要
Due to the time-varying wind direction, yaw operation of wind turbines is a common state. Under yaw, the aerodynamic behavior of wind turbines is complicated, and also causes complex energy capture performance. To clarify some vague knowledge, a detailed investigation of yaw effect based on SCADA data is carried out. Firstly, a yaw coefficient definition and its specific calculation method are presented. Furthermore, to analyze the energy capture mechanism, the loss factor of energy capture (power coefficient) is subdivided into aerodynamic loss factor and inertia loss factor, which means both the effects of aerodynamic characteristic and mechanical inertia on energy capture are considered. According to this understanding, power coefficient is expanded as a function of four factors. Then, a single-valued processing method is employed to investigate the relationship between wind speed and output power. Subsequently, relationship between yaw coefficient and output power is investigated. Comparative investigations are carried out by two different methods, that is, least square fitting (LSF) method and kernel density estimation (KDE) method. Also, characteristics of power coefficient and rotor torque under yaw are investigated. Effect laws of yaw coefficient on wind turbine power, power coefficient, and rotor torque are obtained. Finally, the relationship between the internal control mechanism and external output of wind turbines is discussed. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:684 / 696
页数:13
相关论文
共 49 条
[1]   MPPT control of wind generation systems based on estimated wind speed using SVR [J].
Abo-Khalil, Ahmed G. ;
Lee, Dong-Choon .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (03) :1489-1490
[2]   Experimental investigation of wake effects on wind turbine performance [J].
Adaramola, M. S. ;
Krogstad, P. -A. .
RENEWABLE ENERGY, 2011, 36 (08) :2078-2086
[3]   Assessment of wind energy potential locations in Oman using data from existing weather stations [J].
AL-Yahyai, Sultan ;
Charabi, Yassine ;
Gastli, Adel ;
Al-Alawi, Saleh .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2010, 14 (05) :1428-1436
[4]  
[Anonymous], 2005, WIND ENERGY HDB
[5]   Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system [J].
Baghaee, H. R. ;
Mirsalim, M. ;
Gharehpetian, G. B. ;
Talebi, H. A. .
ENERGY, 2016, 115 :1022-1041
[6]   Vibration response of a 2.3 MW wind turbine to yaw motion and shut down events [J].
Bassett, Kyle ;
Carriveau, Rupp ;
Ting, David S-K. .
WIND ENERGY, 2011, 14 (08) :939-952
[7]   Time Adaptive Conditional Kernel Density Estimation for Wind Power Forecasting [J].
Bessa, Ricardo J. ;
Miranda, Vladimiro ;
Botterud, Audun ;
Wang, Jianhui ;
Constantinescu, Emil M. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2012, 3 (04) :660-669
[8]   Analyzing wind turbine directional behavior: SCADA data mining techniques for efficiency and power assessment [J].
Castellani, Francesco ;
Astolfi, Davide ;
Sdringola, Paolo ;
Proietti, Stefania ;
Terzi, Ludovico .
APPLIED ENERGY, 2017, 185 :1076-1086
[9]   An application of the actuator disc model for wind turbine wakes calculations [J].
Castellani, Francesco ;
Vignaroli, Andrea .
APPLIED ENERGY, 2013, 101 :432-440
[10]   Investigation of the incoming wind vector for improved wind turbine yaw-adjustment under different atmospheric and wind farm conditions [J].
Cortina, G. ;
Sharma, V. ;
Calaf, M. .
RENEWABLE ENERGY, 2017, 101 :376-386