Wind Power Prediction Based on Grey Theory and Simulation Study

Due to the significant instability, anti-peak-regulation and intermittency of wind power, wind power integration needs an accurate prediction technique to be a basis. At present, the difficulty of wind power integration has resulted in a large number of wind curtailment phenomena and wasted a lot of renewable energy. Grey prediction model has many advantages such as requiring little historical data and the simple model, with high prediction accuracy and convenient calculation, and without regard to regularities of distribution, etc. This paper puts forward the method for short-term wind power prediction using gray model GM (1, 1) and carries out simulation study and empirical analysis using the data from a wind farm of Jilin province, which shows the science and operability of the proposed model. It provides a new research method for the wind power prediction.