The Comparison of BP Network and RBF Network in Wind Power Prediction Application

Wind power prediction is of great importance for the safety and stabilization of grids. Based on historical data, the application of BP and RBF network in 3 hours wind power prediction are compared. The comparisons are of network structure, network training speed and prediction results. Combined with BP and RBF network, two prediction routes were put forward to predict wind farm power. The results show that, for both BP and RBF network, the relative power prediction error is 11%-14% for each turbine and 8%-10% for the whole wind farm. The training speed and prediction precision of RBF network are superior to those of BP network and the best result is gotten by RBF network. RBF network is suitable for online wind power prediction.