In the current digital age, Internet data centers （Internet data center, IDCs） have become important components of power grid as large power consumers. Firstly, IDC waste heat recovery technology is adopted to establish a IDC equivalent thermal parameter model, which is integrated into the micro-energy network to achieve multi-energy complementarity of cooling, heating, and power. Secondly, the complex relationship between the required cooling capacity and waste heat during the operation of IDCs is analyzed in depth, and lithium bromide absorption refrigeration machines and electric refrigeration machines are used to meet the cooling load requirements of IDCs. In order to more effectively cope with the changing characteristics of batch processing load in the time dimension, a highly flexible data load allocation strategy has been developed, and a two-layer programming model has been established. The typical day selection method for scenario reduction is used to address source load uncertainty, and the Tent mapping grey wolf optimization algorithm （TMGWO） based on Tent mapping and CPLEX are introduced for joint solution. Finally, through simulation analysis of a micro-energy network with a IDC, numerical results show that the proposed method can effectively improve the system's economy and environmental friendliness.