Hour-ahead wind power prediction for power system using quadratic fitting function with variable coefficients

Wind power is currently one of the most mature renewable energy power generations, which has the largest development scale and commercial prospects. As the wind power output has characteristics of strong random and volatility, Large-scale wind power accessing will have tremendous impact on security and stability of the power system. Reasonable and reliable predictions of wind power output can ensure the realization of the power system´s economic and safe dispatch; therefore improve the access capacity of the wind power. By analyzing the characteristics of the wind turbine output and calculating the historic power and wind speed, a quadratic function of output power can be established, with the data of wind speed, we can get the predicted data in hours; Treating the quadratic fitting function coefficients as variable parameters, calculating the coefficients through the measured data, then analyze the error to get the best approach, and the actual system numerical examples tested it.