In this paper, according to the characteristics of wind power randomness, a dynamic economic dispatching model of the power system including wind power is established under the condition of satisfying the system constraints, which comprehensively considers the correlation characteristics of the wind farm, the environmental protection and economy of the power system, and the simulation results show that the model has a certain guiding role in the dynamic economic scheduling of the power system. The multi-objective particle swarm optimization algorithm is used to solve the dynamic economic scheduling problem of power system by using MATLAB software, and the results show that the algorithm has good performance, and it has certain feasibility and effectiveness in the dynamic economic scheduling problem.