Research on Energy Sharing System of Data Center and Electric Vehicles under Collaborative Optimization

The widespread deployment of digital economy and artificial intelligence has contributed to a dramatic increase in energy consumption and economic cost of data center as infrastructure. To solve this issue, this study proposes a data center and electric vehicles (EVs) energy sharing system considering energy strategy, computing resources allocation and EVs charging schedule under collaborative optimization view. The model is formulated as a mixed integer linear programming (MILP) problem with the aim to minimize the economic cost. Finally, the case study results demonstrate that the proposed data center and EVs energy sharing system can achieve $18.15 \%$ cost saving compared with baseline case.