The study of three kinds of wind power prediction methods(60603)

The wind power prediction has great significance on the optimization of grid scheduling, ensuring the power balance and safe operation. First, the ARMA model, the gray prediction model, and the BP neural network model are established by using the sampling time of 15 min wind power time series. The conclusion is that the BP neural network model predicts most accurate. Then, stand-alone wind power and the sum of 58 wind turbines wind power are predicted. The accuracy of 58 wind turbines is higher. It is visible wind power power aggregation can improve the prediction accuracy.