Data Analysis Of Power Curve Dispersion Of Wind Turbines

The priority access of renewable energy is one of the main features of the energy Internet and smart grid.As a clean energy source with abundant energy storage,easy development and no pollution,wind energy is one of the main forms of renewable energy.Wind energy is random,unstable and intermittent,and large-scale wind power integration into the power grid is an important issue.Accurate and reliable wind power prediction is a key basic technology for grid connection.In addition to improving forecasts such as wind speed and direction,establishing a more accurate “wind speedpower” curve(Power curve of wind turbines)is also an important way to improve wind power prediction.In order to establish a more accurate "wind speed-power" curve of the horizontal axis wind turbine,the main work of this paper is as follows:(1)Preliminary analysis of the relationship between the dispersion of the thrust curve and the change of wind speed.According to the law of rotation of a rigid body in rotational motion in physics,the function from wind speed variations to active power variations can be approximately reduced to a first-order low-pass filter.The cutoff frequency of the first-order low-pass filter is estimated by seven-point smoothing filter,Gaussian filtering and bior6.8 wavelet denoising.(2)Through the correlation index calculation,wavelet,power spectrum analysis,and the analysis of the fitting residual between wind speed,wind direction,cabin angle and power,the influence of wind speed,wind direction and cabin angle on the dispersion of thrust curve is studied..The main conclusions drawn are:(1)Rapid wind speed changes are absorbed by the mechanical inertia of the blade rotating around the axis.The functional relationship between wind speed and power change can be approximated by a first-order low-pass filter.(2)The angular difference between the wind direction angle and the cabin angle is an important factor affecting the output of the horizontal axis wind turbine.Increasing the windward capability of the yaw device can reduce the dispersion of the wind speedpower characteristic curve.