Distribution feeder-level multi-temporal coordination of electric vehicle charging flexibilities considering rebound impact and vehicle owner preferences

Charging flexibility management studies have been dominantly structured on daily planning, assuming highly accurate predictions and the availability of large amounts of information. On the other hand, event-triggered approaches using the information of ongoing charging sessions may be more applicable. Moreover, an important gap has been consideration of electric vehicle (EV) owner preferences (e.g. minimum state of charge (SoC) to be reserved) so far. This work investigates multi-temporal coordinated management of EV charging flexibilities. An event-triggered approach that coordinates the ongoing charging sessions using a scalable time window, considering all the time periods affected by the rebound impacts is proposed. Additionally, EV owner preferences in charging (minimum desired increment in SoC per charging sessions) are taken into account by the management logic to ensure user-defined levels of SoC at departure times. A case study with 55 customers in a low-voltage distribution area is explored to compare the effectiveness of the proposed approach and simple charging management based on achieving the biggest reduction in the current hour without considering rebound impacts.