Prediction Research of Wind Power Generation by Smoothing-Grey Model
Abstract：Wind energy is a kind of clean and renewable energy. Wind power generation is volatility and intermittent, so large capacity of wind power generation access to the grid cause serious effect on reliable and economic operation of power system. In order to ensure the stable and reasonable schedule of power system, the smooting process for original data and the prediction method based on grey prediction model GM (1, 1 ) are proposed according to measured power of four wind turbine units. Takes the power data of several days before the 23rd day as original data, predicts the next 24 h power (the 23rd day) of each four wind turbine and predicts the accuracy according to national standard formula. According to the simulation results, the best prediction original data is identified, the accuracy rate meets national standard, which proves the validity and feasibility of the method.
Keywords：wind powersmoothinggrey modelshort prediction
Publication Date：2012-01-01
Pages：4( 22-25 )