Wind Signal Forecasting Based on System Identification Toolbox of MATLAB

Wind signal (including wind speed and direction) forecasting can relieve or avoid the disadvantageous impact of wind power plants and enhance the competitive ability of wind power plants against other power plants in electricity markets. Firstly, the method for analyzing and dealing with the dynamic data, the process of rank - determining and model-constructing of time series were discussed. At last, the result for wind signal forecasting was gained. The result shows that the ARMA model based on System Identification Toolbox of MATLAB is every valid to forecast wind signal and can reflect the future characteristics of the signal.