To better analyze the power energy optimization problem in the integrated energy system, this paper uses PSO algorithm with good global search ability as the scheduling model solution. Firstly, we propose the joint optimal scheduling model of power integrated energy system with the participation of user side, and provide corresponding algorithm objectives and constraints. Then, PSO algorithm using inertia weight to control the learning factor is adopted to improve its convergence speed and obtain the optimal solution of equipment output and performance index. Finally, through specific examples, the model is verified and the optimal scheduling scheme of the integrated energy system under the objectives of economy and environmental protection is acquired. The results show that the scheme can effectively avoid particles falling into local optimization, and accurately calculate the reliability quantitative index of the comprehensive energy system in the target area, which ensures the coordinated interaction of endogenous, storage and load in the power system.