Day-Ahead Economic Scheduling Model Considering Spatio-Temporal Flexibility of Data Center and Electric Vehicle

Abstract

The uncertainty arising from the high penetration of wind power and solar photovoltaics poses challenges to the operational stability of power systems. To solve this problem, flexible demand resources including internet data centers (IDC) and electric vehicles (EV) with spatio-temporal flexibility need to be further utilized. This paper proposes a day-head economic scheduling model which considers the temporal and spatial flexibility of IDC and EV. The energy consumption model of IDC and the aggregation model of EV are added to the day-ahead scheduling model. The simulation results show that using temporal and spatial flexibility at the demand side can reduce the total cost of the power system, shift the peak load, and mitigate the possible congestion of the grid.