Abstract:

Charging cost of electric vehicles depends on the selection of the charging strategy when operating in a spatio-temporal electricity pricing market. In such scenario, selection of the charging strategy can be critical in order to keep the charging cost minimum. Furthermore, a coordination of charging strategies is required to prevent the electric grid from overloading during peak demand periods. Hence, a cost optimization model is implemented for individual travelers in a coordinated context. Individuals minimize their cost and are constrained by power delivery constraints in space and time. The charging strategy optimization applies to the scenario where the electric energy price varies with time and location. When all trips are fixed in time, interesting low cost charging time slots may be unavailable to a particular individual. Hence, in order to charge at such cheap moments, a shift in traveling moments is proposed in this work. In this paper, a comparison between cost savings and the required agenda adaptations also is discussed. This work improves the electric vehicle charging cost optimization framework by integrating local power grid capacity constraints.