Survey of Wind Power Output Power Forecasting Technology

Abstract

Because of the randomness of wind energy and the non-linearity of power system, there are many dubious variables that should be noticed when forecasting the output power of the wind power. Physical method is often used in the medium-term forecasting, as its model does not require the historical data of the wind farm. The statistical method is simple and requires a small amount of data. It can be applied in those situations where data acquisition is difficult. The artificial intelligence model is suitable in the random or non — linear system as it does not rely on the accurate mode of the objective. The combined forecasting model maximizes favorable factors and minimizes unfavorable ones as contained in above-mentioned methods. This article gives out a brief summary and proposes some improvement measures against the main existing problems in prediction field.