The distribution characteristics of wind speed and direction at 70 m and prediction errors of forecast wind speed of three typical wind farms (i. e., Nanqiu, Heiyazi, and Ganhekou) with complex topographic conditions in Gansu were analyzed. A correction model based on Kalman filtering was established to correct wind speed forecasted by Beijing Rapid Updated Cycling Analysis and Forecast System (BJ-RUC). Results show that:The percentage of effective wind speed hours of the total year is 90.9% in Nanqiu, 85.06% in Heiyazi, and 82.93% in Ganhekou, respectively. Significant differences of the percentage of effective wind speed hours exist in different seasons for each wind farm. Specifically, percentages of effective wind speed hours are higher in summer and autumn, and can reach up to 29.65%, 27.19%, 23.24% in Nanqiu, Heiyazi and Ganhekou, respectively. In summer, the diurnal variation of wind speed in Nanqiu has two or three peaks while in Heiyazi is characterized by a single peak and in Ganhekou is performed as double peaks and single valley. From summer to autumn, the prevailing wind direction in Nanqiu is southeast, the leading wind direction in Heiyazi shifts from east to west and the dominant wind direction in Ganhekou persistently keeps easterly persistently. The gustiness of wind speed varies from season to season. The Weibull distribution indicates that the wind speed in september is more volatile than wind speed in June in Heiyazi and Ganhekou. On the contrary, wind speed in June is more volatile than that in september in Nanqiu. Limitations in forecasting wind speed by BJ-RUC are mainly two aspects:one is that the gustiness of prediction wind speed is relatively weaker; The other one is that the wind speed forecasted by model is relatively larger than measured one. However, with the correction by Kalman Filtering method, the capability of forecasting gustiness of wind speed based on numerical weather model has been improved; Weibull distribution shape and scale parameters of the corrected wind speed are approximation to those of measured wind speed. The correlation coefficient of observed speed and corrected speed can be increased by 15%; the absolute error and root mean square error have also been improved significantly, which drop to 1.30 m·s-1 and 1.66 m·s-1.
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