With Electric Vehicles (EV) becoming more common on the road there is also an increase of charging demand to the current power grid. The most regular way of charging your vehicle is uncontrolled charging, which is to have it start charging once it is connected to a charger so the battery is full when you need the car again. However, the current low voltage distribution grid is not designed to have so many EV’s charging at the same time next to the existing power demand e.g. households or offices. 

The aim of the research is to build a hierarchical multi-functional algorithm whose job it is to schedule the EV charging smartly. The outcome of this algorithm is to fulfill the charging request process of a large number of Electrical Vehicles while preventing congestion of the grid, reducing the charging cost, increasing the local renewable energy utilization as well as providing grid regulation service. The algorithm will work on two levels. On the local level it will optimize the EV charging process based on the electricity price and the local information e.g. the PV generation, the base load demand and the EV requirements. On the central level the algorithm will coordinate with the local level to match the total demand with the capacity of the whole grid. There are many practical limitations e.g. the communication protocol restriction and the data availability that are not considered in the existing charging scheduling algorithms. The innovative idea of this research is thus to design the algorithm in such a way that it contains multiple functions but also complies with the practical limitations.