基于工程尾流模型的风电场发电量评估OA

This paper compares the wind speed differences of wind turbines in a wind farm under a single wind direction based on four types of engineering wake models:WAsP-Park1,WAsP-Park2,Park-Gauss,and Bastankhah.It also analyzes the effects of engineering wake models,wake attenuation factors,wake velocity loss superposition methods,neighboring wind farms,and other factors on the calculation results of power generation capacity of wind farm.The research results show that:1)In the same wind farm,under a single wind direction,the Park-Gauss model calculates the maximum wake velocity loss of wind turbines,followed by the WAsP-Park2 model,the WAsP-Park1 model is smaller,and the Bastankhah model is the smallest.2)When the influence of neighboring wind farms is not considered,the wake losses of the target wind farm calculated by the WAsP-Park1 model and the WAsP-Park2 model are basically the same.However,when considering the impact of neighboring wind farms,the calculation results of the WAsP-Park2 model are about 3%～5%higher than those of the WAsP-Park1 model.Under the same operating conditions,compared with the calculation results of the WAsP-Park1 model,the calculation results of the Park-Gauss model are about 1.5 times higher,and the calculation results of the Bastankhah model are about 0.4 times higher.3)For any engineering wake model,under the same operation condition,the smaller the wake attenuation factor,the greater the wake loss of the target wind farm.For every 0.01 decrease in wake attenuation factor,the calculated increase in wake loss of the target wind farm is basically over 10%.4)When considering the impact of neighboring wind farms,the direct sum method yields the highest calculation result for the wake loss of the target wind farm,followed by the square sum root sign method,and the maximum value method yields the lowest result.Therefore,when evaluating the power generation capacity of wind farms,it is necessary to comprehensively consider the influence of neighboring wind farms,wake attenuation factors,and wake velocity loss superposition methods.