This paper studied the scheduling optimization problem of the wind power integrated system. A power system scheduling model was established aiming at minimizing the generation cost and reducing pollution. A method combined priority-list method (PL) with multi-objective particle swarm optimization (MOPSO) was proposed to overcome the blindness of particle swarm optimization (PSO) and improve the calculation speed. The priority-list method was used to sort the units. The simple economic dispatch result was taken as the initial location of particles. Adaptive mutation was introduced to guarantee the diversity of particles. The simulation result indicates that the method proposed in this paper is feasible and reasonable.