Wind power plant multi-objective optimization control method and system based on DLMPC

The invention discloses a wind power plant multi-objective optimization control method and system based on DLMPC, and the method comprises the steps: building a wind power plant optimization model based on model control MPC, and converting a prediction model into a wind power plant prediction model based on deep learning fitting; a multivariate time sequence prediction model based on deep learning is established and trained to fit a mapping function of the wind power plant prediction model based on deep learning fitting, and a wind power plant centralized voltage optimization control optimization target based on DLMPC is established; and solving the DLMPC-based wind power plant centralized voltage optimization control optimization target to obtain an optimal control variable of the wind power plant so as to realize multi-target optimization control of the wind power plant. The invention aims to realize centralized multi-target voltage coordinated optimization control of a wind power plant based on data drivin