The invention provides an intelligent
optimal scheduling method for wind and
solar energy storage grid-connected power generation. The intelligent
optimal scheduling method comprises the steps that (1) historical wind
electricity data and
solar electricity data are collected, and wind
electricity and
solar electricity output prediction error distribution before a day and in a day at different time scales is obtained; (2), wind
electricity and
solar electricity predicted output values are obtained according to meteorological data (illumination and temperatures) with an existing wind electricity output predicting
system and a solar electricity output predicting
system; (3), a wind electricity output scene value and a solar electricity output scene value are determined through the step (1) and the step (2); (4), an intelligent wind and
solar energy storage gird-connected
power generation scheduling model is established, wherein the intelligent wind and
solar energy storage gird-connected
power generation scheduling model comprises a scheduling optimized objective
function model and a scheduling constraint condition model, and the scheduling optimized objective
function model comprises a day-ahead scheduling model, a intraday scheduling model and a real-time scheduling model; (5), a first wind and
solar energy storage power generation day-ahead combined scheduling value is obtained through optimization; (6), a wind and
solar energy storage power generation intraday combined scheduling value, a wind
energy storage power generation intraday scheduling value and a
solar energy storage power generation intraday scheduling value are obtained; (7) a real-time wind and solar
energy storage scheduling value is obtained.