Distributed Energy Resource Exploitation through Co-Optimization of Power System and Data Centers with Uncertainties during Demand Response

This paper presents a robust bi-level co-optimization model that promotes the active participation of Internet Data Centers (IDCs) in demand response (DR) programs, thereby enhancing flexibility power systems. Our approach involves leveraging virtual lines to migrate workloads among IDCs, optimizing resource allocations, and benefiting both domains. The incorporates Gaussian Process Regression (GPR)-constructed DR price–amount curve, which largely contributes simplification optimization problem with high accuracy computational efficiency. It also respects information barriers between two domains systems thus safeguards privacy IDCs. uncertainty IDC operations is considered by incorporating variance GPR into curve. By integrating IDCs as resources, framework this research enhances efficiency cross-domain co-optimization. algorithm are validated using modified IEEE test