In order to maximize the economic benefits

energy efficiency level and environmental benefits of distributed energy system

a relatively universal optimization model is established for the building-type distributed energy system. Combining the particle swarm optimization algorithm with linear programming

the two-stage optimization method is used to calculate the optimal capacity configuration and the operation strategy of the system. Moreover

taking the distributed energy system of hotel building as an example

the ergodic method is used to verify the accuracy of the calculation results and analyze the influence degree of the capacity of the driving equipment and the energy storage device on the comprehensive benefit of the system. Furthermore

the influence of the energy storage device and energy price on the system performance is also analyzed. The results show that

the capacity of the driving equipment is the main factor affecting the comprehensive benefits of the distributed energy system. The configuration of the energy storage device can play the role of cutting the peak and filling the valley

which is beneficial to improve the comprehensive efficiency and flexible operation of the system. The economic effect is more sensitive.