Abstract: Based on the climate, electricity consumption characteristics and existing technical conditions in the border guard post area, the feasibility of the application of the CCHP system containing renewable energy in the border guard post is analyzed and a system economic model containing renewable energy prediction is established. In view of the high dimensionality and many variables of the combined cooling,heating and power supply solution model, the traditional gray wolf algorithm（GWO）is easy to fall into local optimization and the slow optimization speed cannot meet the high-dimensional multi-objective combined cooling,heating and power supply optimization problem. The α parameter in GWO is improved and the weight factor ω is introduced. Taking a border guard post as an example,taking the system unit configuration as a control variable,the influence of four algorithms and different permeability on the system operation cost is compared through Matlab simulation. The research results can provide reference for the permeabilities and optimization of the combined cooling,heating and power supply system containing renewable energy applied to border posts.