Multi-agent Simulation of Intelligent Energy Regulation in Vehicle-to-Grid

The vehicle-to-grid feature of today's electric vehicles suggests using them as batteries for stabilizing the power grid besides using them to fulfill mobility needs. In the context of car-sharing, the car-sharing provider may thus try to foster two goals: they may be interested in stabilizing the grid and ensuring the usage of as much green energy as possible. At the same time, they try to maximize satisfaction of the customer's requests. As such, each car-sharing provider has to implement a policy on how to react to booking requests. On the other hand, customers may react to how mobility needs are fulfilled and adapt their booking strategy. In this paper, we study the problem of how to model elements of car-sharing providers as well as those of customers in a multi-agent simulation. We identify the principal elements and targets while leaving concrete simulations as future work.