With the increasing of wind power penetration in the power system, the phenomenon that wind power cannot be connected to the grid becomes more and more serious, and the problem of wind abandonment needs to be solved urgently. Aiming at the problem of how the energy storage system cooperates with the abandonment of wind in the power grid, this paper builds up an optimal scheduling model including multi source and energy storage power station. The proposed model aims at the minimum running cost of the system. Compared with other scheduling models, the improvement of the model is to increase the cost of wind abandonment and battery operation, and quantify the economic loss of wind abandonment and battery loss. Matlab/Simulink simulation software is used to optimize the scheduling model through improved particle swarm optimization algorithm, and the economy of the system before and after energy storage device configuration is compared and analyzed. Simulation results show that after the energy storage battery is configured, each generator set can flexibly participate in the power system scheduling, effectively improve the wind power consumption capacity of the system, and reduce the abandoned wind power, which has good economic benefits.