Study on Wind Resource Assessment Based on Refined Wind Measurement Data

The data measured by millimeter wave radar in wind measurement has the advantages of high accuracy rate and low data loss rate, and the processing of the measured data is more accurate and reliable in the use of wind resource detection unit calibration, error revision of yaw pitch system, field station adaptability evaluation, and unit power generation capacity assessment. The wind data measured by a wind farm in Guizhou using millimeter wave radar at 10min intervals and based on a variety of different horizontal heights (10-200m) are used as a benchmark for wind resource assessment of wind power plants. This paper adopts correlation analysis to process the data and uses Weibull two-parameter distribution to theoretically study the wind frequency distribution law to calculate the annual effective wind power density in the region. The results of this study can accurately assess the wind resources. The results of this study can also avoid the loss of power generation caused by inaccurate data measurement in the process of fine evaluation of wind farm capacity and improve the reliability of wind farm site selection.