EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs

Abstract

Electric Vehicle (EV) charging scheduling is a necessary aspect of everyday use of EVs. It may be addressed with respect to the grid, the service provider (aggregator) and the EV owner (customer). This paper presents a profit maximization collaborative multi-aggregator scheduling scheme which evaluates the customer benefits in two ways. The first is to propose an indicator that evaluates the impact of multi-aggregator collaboration on the EV charging cost. The second is to include a fine levied on the service provider as a consequence of EVs remaining unscheduled. A distributed approach is considered while performing a multi-aggregator collaborative scheduling. The results indicate that collaborative scheduling results in greater aggregator profits along with lowered EV charging costs. It was further observed that multi-aggregator collaboration results in fewer penalties due to unscheduled EVs, resulting in an increase in the total number of scheduled EVs and the aggregator profits.