Neural network approaches have been used to try and characterise the power performance of wind turbines in a wind farm. Stochastic techniques are often dismissed as being inferior to those which use neural networks but those stochastic techniques proposed are often overly simplistic. We propose modifications to the IEC 61400-12 bin method in order to provide a more accurate characterisation of wind turbine performance in complex terrain taking account of direction and using a varying power law dependence of power output on wind speed. The method is validated using data from a real wind farm.
Abstract. Accurate determination of wind turbine performance is necessary for economic operation of a wind farm. We propose modifications to the basic polynomial method to take account of distance between the meteorological mast and the wind turbine and also the complexity of the terrain. The methods are evaluated using data from operational wind farms and the methods are compared to a modified IEC 61400-12 bin method.
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