A Two-stage Robust Planning Approach for Data Center Microgrids Considering Flexibility

In the planning of data center microgrid, the uncertainty of renewable energy and load within the microgrid and the ratio of batch load of the data center itself are important factors affecting the planning results. The paper firstly represents the uncertain information in the form of intervals, and then establishes the operation model and cost model of gas turbine, energy storage equipment, photovoltaic power plant, and data center. On this basis, a two-stage robust planning model with the min-max-min structure is established, and the main problem and sub-problem are solved iteratively based on the column-and-constraint generation (CCG) and the strong pairwise theory to obtain the optimal solution of the original problem. The optimal planning cost of the system corresponding to the variable range of uncertain variables with different compensation prices corresponding to the variation of the batch load ratio is derived one by one. Finally, the effectiveness of the proposed model and solution algorithm is verified by simulation analysis. Compared with the traditional data center micro-network planning, the proposed model can provide the most economical micro-network equipment capacity configuration and data center user compensation prices for data center operators with different risk preferences to minimize their planning costs. ©2023 Chin.Soc.for Elec.Eng.