With the rapid development of the data center industry, achieving low energy consumption and low costs has become crucial. Rational energy configuration and scheduling in Data Center Integrated Energy Systems (DC-IES) have emerged as significant challenges. This study utilizes multi-energy coupling scheduling technology to design an integrated energy system for data centers. With the economic costs of data centers as optimization objectives, an operational model for the DC-IES was established. A two-stage optimization method was utilized to optimize both the capacities of various devices and the scheduling strategy for the integration of source-grid-load-storage operations, thus enhancing energy utilization efficiency. The effectiveness of the model was verified using a railway data center as a case study. The constructed DC-IES achieved an annual cost savings rate of 20.10% and a reduction in carbon dioxide emissions of 2,590 t.