Optimal scheduling of electric vehicles parking lot in a smart distribution system

This paper provides a methodology to model the interactions between aggregators and electric vehicles parking lots. At the leader’s level, the objective is maximizing aggregator profit while at the followers’ level the aim is to minimize the operating cost of the parking lots. The proposed Stackelberg game models the interactions between aggregators and the parking lots in order to discover how both entities can benefit through their electric energy trading with each other and the upstream network. The method is able to strategically determine the amount of charging/discharging power and their corresponding prices interacted between parking lots and the aggregators. The simulation results show that the global optimal performance for an aggregator serving multiple parking lots is achieved at the Nash equilibrium if the proposed Stackelberg game is implemented.

Keywords:

Aggregator , Parking lot , Smart power system , Energy pricing , Energy market