User power system is an extension of the smart grid in the residential side, is one of the smart grid research hotspot. Based on the dynamic electricity price information, combined with the distributed power supply, the ability of the electric vehicle to feed back the electric energy to the grid, the paper analyzes the influence of the electricity load, the time of the electricity, Board and electric vehicle are established, the particle swarm optimization algorithm is used to solve the problem, and the multiobjective operation of the user power system is scheduled and arranged. Without affecting the user′s electric comfort, a method is proposed to minimize the electricity cost as the goal of electricity scheduling strategy. Finally, through the analysis of examples, the results of MATLAB simulation show that the electricity scheduling strategy effectively reduces the electricity cost of 34.6%, which verifies the feasibility and economy of the electricity arrangement strategy, and provides the theoretical guidance for users to use electricity reasonably.