A Conditional-Constraint Optimization for Joint Energy Management of Data Center and Electric Vehicle Parking-Lot

Abstract

In near future, the Electric Vehicles (EVs) will have a high level of penetration and their charging will be necessary to support daily operation. In such case, there will be three charging scenarios, such as (a) charging at commercial stations, (b) charging at home, and (c) charging at workplace. Therefore, during the working hours, the synchronized EV charging of the employee would experience an added demand charge on the data center operator. To reduce the impact of such demand charge, a joint power management strategy for the cloud data centers and its EVs parking-lot is required. However, the parked EVs is an energy source, such as battery bank that can participate in the power management problem. Considering the hybrid needs, in this paper a joint power management and energy cost minimization model for the data center and EV parking-lot is developed and solved as a conditional constraint optimization problem using Mixed Integer Linear Programming (MILP).