Transactive charging management of electric vehicles in office buildings: A distributionally robust chance-constrained approach

In this paper, a new energy management model is proposed to determine the optimal scheduling of an office building which includes electric vehicle (EV) charging piles, batteries, and rooftop photovoltaic systems. To optimally manage electricity procurement mitigate rate transformer aging, system (BEMS) employs flexibility batteries EV charging. model, incentivize owners offer their flexibility, BEMS organizes transactive market among plugged-in EVs. end, submit response curves target state-of-charge BEMS. Then, cleared market-clearing price for each EV, decisions, accordingly, building. Also, correlated uncertainties solar power generation demand, distributionally robust chance-constrained method employed. Moreover, “Big-M” technique piecewise linear approximation are utilized linearize optimization problem. Finally, case with 100 piles studied. The numerical results illustrate decrease in total operating cost aging compared uncontrolled direct control approaches. • Developing TE EVs’ participation program. curve owners. Incorporating transformer’s loss life model. Linearizing non-linear equations computational complexity.