Introduction - If you have any usage issues, please Google them yourself
Accurate wind power prediction is conducive to safe, reliable, continuous and stable operation of large-scale wind power systems. It is important to grasp the distribution characteristics of wind power prediction errors, which is of great significance for large-scale grid connection of wind power. Taking the measured data of a wind farm in Jilin Province as an example, the ultra-short-term prediction of wind power is used. The non-parametric estimation is used to fit the prediction error distribution. The non-parametric estimation and prediction method, the prediction time interval and the prediction error probability distribution are analyzed. The relationship between the installed capacity of wind farms and the effectiveness of the proposed method is verified.