Contributions to wind farm power estimation considering wind direction-dependent wake effects

This paper presents a contribution to wind farm ouput power estimation. The calculation for a single wind turbine involves the use of the power coefficient or, more directly, the power curve data sheet. Thus, if the wind speed value is given, a simple calculation or search in the data sheet will provide the generated power as a result. However, a wind farm generally comprises more than one wind turbine, which means the estimation of power generated by the wind farm as a function of the wind speed is a more complex process that depends on several factors, including the important issue of wind direction. While the concept of a wind turbine power curve for a single wind turbine is clear, it is more subject to discussion when applied to a whole wind farm. This paper provides a simplified method for the estimation of wind farm power, based on the use of an equivalent wake effect coefficient. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  R. A. Sobolewski,et al.  Estimation of wind farms aggregated power output distributions , 2013 .

[2]  Rebecca J. Barthelmie,et al.  Evaluation of wind farm efficiency and wind turbine wakes at the Nysted offshore wind farm , 2010 .

[3]  Paul van der Laan,et al.  Wind turbine wake models developed at the Technical University of Denmark: A review , 2016 .

[4]  Li Li,et al.  Impact of wake effect on wind power prediction , 2013 .

[5]  I. Erlich,et al.  Consideration of wind farm wake effect in power system dynamic simulation , 2005, 2005 IEEE Russia Power Tech.

[6]  Andrés Feijóo,et al.  Reformulation of parameters of the logistic function applied to power curves of wind turbines , 2016 .

[7]  Martin Greiner,et al.  Wind farm power optimization including flow variability , 2015 .

[8]  Muyiwa S. Adaramola,et al.  Experimental investigation of wake effects on wind turbine performance , 2011 .

[9]  Libao B. Shi,et al.  An Analytical Solution for Wind Farm Power Output , 2014, IEEE Transactions on Power Systems.

[10]  Johan Meyers,et al.  Optimal turbine spacing in fully developed wind farm boundary layers , 2012 .

[11]  J. Cidras,et al.  Modeling of wind farms in the load flow analysis , 2000 .

[12]  Walid Husien,et al.  Effect of the wake behind wind rotor on optimum energy output of wind farms , 2013 .

[13]  Vladimir Terzija,et al.  Wake effect in wind farm performance: Steady-state and dynamic behavior , 2012 .

[14]  N. Jensen.  A note on wind generator interaction , 1983 .

[15]  Javier Serrano González,et al.  Optimization of wind farm turbines layout using an evolutive algorithm , 2010 .

[16]  M. Lydia,et al.  Advanced Algorithms for Wind Turbine Power Curve Modeling , 2013, IEEE Transactions on Sustainable Energy.

[17]  Mohammad Yusri Hassan,et al.  Wake effect modeling: A review of wind farm layout optimization using Jensen׳s model , 2016 .

[18]  Xuesong Zhou,et al.  The dynamic modeling of wind farms considering wake effects and its optimal distribution , 2009, 2009 World Non-Grid-Connected Wind Power and Energy Conference.

[19]  Hans Knudsen,et al.  An aggregate model of a grid-connected, large-scale, offshore wind farm for power stability investigations—importance of windmill mechanical system , 2002 .

[20]  Sasa Z. Djokic,et al.  Equivalent power curve model of a wind farm based on field measurement data , 2011, 2011 IEEE Trondheim PowerTech.

[21]  Andrew Kusiak,et al.  Design of wind farm layout for maximum wind energy capture , 2010 .