Improving Large Wind Turbine Power Curve by Integrating Lidar-Measured Multiple Wind Parameters: A Coastal Case Study

A new power curve that is suitable for describing large wind turbines with long blades is proposed in this study. Improving the accuracy of power generation curves for large wind turbines not only involves current wind turbine development trends but also facilitates the conversion to low-carbon energy. A large wind turbine in a coastal area (with a hub height of 135 m and a long blade length of 118 m) and multidimensional wind parameters observed by lidar were integrated. Correction factors such as the turbulence intensity (TI), gust factor, and wind shear exponent (WSE) were integrated into the velocity parameter Uc to establish a multi-parameter correction prediction model suitable for describing the power generation of large wind turbines. The daily variation and distribution depending on the atmospheric stability of the correction factor were analyzed. The power generation was closer to the classical power output curve after the correction factor was applied, and the corresponding correction coefficients were proposed. The power output was enhanced with the correction factor for small winds (<4 m s−1), however, the combined effects of turbulence, gust and wind shear mainly weakened the power generation for large winds of the wind turbine.