Data-driven analysis method for available power generation capacity of wind power generation

In recent years, with the rapid development of wind power generation, the requirements for wind power dispatch have been continuously increased. Analyzing wind power forecasts for the power grid dispatching department can ensure the safe operation of the power grid. Based on this background, this paper takes wind power generation forecasting as the main research content. It proposes a data-driven analysis method for the available power generation capacity of wind power generation, which uses a hybrid model to predict wind power generation. Firstly, the necessity of accurate forecasting of wind power is analyzed, the critical technologies of wind power forecasting are sorted out, and the problems existing in wind power forecasting are summarized. Secondly, the physical model is used for preliminary prediction, and then the CEEMD-ARIMA-DPSO model is established to correct the error. Finally, a numerical example is used to prove the method's effectiveness and model proposed.