Optimal Scheduling of Data Center Considering Wind-Solar-Storage Complementary and Workload Distribution

Along with the progress of the two carbon emission goals in China, i.e., the carbon emission reaches its peak value in 2030 and the carbon neutral will be realized in 2060, the renewable energy microgrid in data center keeps continuous development. To reduce the carbon emission and comprehensive operating cost of data center, a multi-objective optimal scheduling mode of data center considering wind-solar-storage complementarity and load distribution was proposed. Firstly, wind-solar-storage complementarity was used to solve the intermittency of renewable energy output to a certain extent. Secondly, the workload distribution strategy was used to make energy demand of the data center matching with the renewable energy output curve as much as possible, so as to improve the utilization rate of renewable energy and reduce carbon emissions. Finally, the optimal scheduling results were analyzed by computing example under the proposed mode, and the comprehensive operation cost, carbon emission and renewable energy utilization rate of the data center under different operation modes were compared. Comparison results show that the proposed mode can significantly reduce carbon emissions and improve the utilization rate of renewable energy.