Abstract: In view of the fact that the cost of wind power is still higher than that of thermal power, considering multiple benefits, rationally optimizing the output of wind power, thermal power units and heat-storage electric boilers is of great significance for reducing energy costs and increasing wind power consumption. This paper establishes a mathematical model for optimal dispatch of wind power, thermal power units, and heat-storage electric boilers that taking multiple objectives into account. By adopting a small-scale membership function, the multi-objective function with the lowest operating cost of wind power and thermal power units and the smallest abandonment of wind power is converted into a single objective function, and the output of the wind power and thermal power units with the best membership degree is obtained under the constraints of each part. Furthermore, a modified particle swarm optimization algorithm is proposed to solve the above model. The algorithm can jump out of the local optimal solution, and has a faster convergence speed and higher calculation accuracy. Finally, based on the actual data of a power grid, the simulation results verify the effectiveness of the proposed method.