Artificial Neural Network Based Wind Power Short Term Prediction System
Chun Liu · Power System Technology · 2008
Wind power prediction is important to the operation of power system with comparatively large amount of wind power.A summarization of the research status,basic principle and forecast methods of wind power prediction was presented in the paper.The system framework was designed.A wind power prediction system based on artificial neural network was established,and the system will soon be applied in the Jilin power grid dispatch center.The system relies on numerical weather prediction,has friendly man-machine interface,and realizes seamless connection to the energy management system(EMS).The results of the test data indicate that the prediction system is reliable and the root of mean square error(RMSE) is about 15%.The economic benefit of the forecasting system was also estimated.