Optimal Bidding Strategy for Data Center Aggregators Considering Spatio-Temporal Transfer Characteristics

To reduce the cost of load aggregators (LA), recent studies suggest optimizing LA's bidding plans by utilizing the demand response (DR) potential of various flexible end consumers. With the exploding growth of IT demand, an emerging flexible end consumer, data centers, has begun to appear around the world. In this paper, we focus on utilizing the data centers' DR potential to optimize the bidding plans of data center aggregators (DCA), which is the LA that supply power for multiple data centers. First, an optimization bidding model is formulated based on data centers' DR potential, which consider the backup energy characteristics and workloads spatiotemporal transfer characteristics of data centers. Then, in view of the unique load characteristics of data centers, we propose a rational and quantitative compensation mechanism for the DCA to induce data centers participating in DR. In the end, simulation results are used to prove that the proposed model is beneficial to both the DCA and data centers.