In order to solve the problem that integrated energy system combined cooling, heating and power only considers the system investment cost or environmental pollution, which affect the overall optimization operation of the system, the system was researched and analyzed by aiming at system economy and environmental protection. Firstly, the optimization model of the combined cooling, heating and power system with gas turbine, gas boiler, electric chiller and other units were constructed and the constraints were established; then the particle swarm optimization algorithm was improved, the model was optimized for multi-constraint targets to improve the convergence accuracy, speed and stability of the solution; finally the example was used to analyze the results. The results show that the improved particle swarm optimization algorithm can balance the economic cost and environmental protection of the system, optimize operation of the system, and provide the previous preparation for the planning of the energy supply system.