Leveraging Energy Flexibility with Electric Vehicles

In this paper, we present an implementation of price-optimized charging based on energy flexibility. Three fleet operators determine the energy demand needed to charge battery electric vehicles (BEVs) at a specific time and share this information as so-called power corridors with an energy aggregator. The aggregation system collects the predicted power corridors from the charging systems and calculates the flexible energy demand. A trading system receives the aggregated information and returns the power prices to the aggregation system. As a result, the aggregation system calculates and delivers charge plans for each site of the fleet operator with optimized power prices to the charging systems. This study can contribute to a new energy market communication system by providing insights on how to leverage the energy flexibility BEVs can offer for a data-driven energy system.