IET conference proceedings. · 2021 · 13 citations · 0 references
The integration of electric mobility into the distribution grid can potentially cause grid congestions because of uncontrolled charging processes. Because electric vehicles have a high electrical flexibility due to their long idle times and ever-increasing battery sizes, different load management strategies or local energy markets could tackle these future grid challenges. This paper presents an approach to model the forthcoming electrical flexibility and energy demand of electric vehicles to analyse future grid loads and the potential of different types of load management. This approach expands on the detail of load and driving profiles by considering multiple location types, time and location dependent user behavior, charging point availability, different vehicle models as well as seasonality at the level of individual vehicles in an agent-based simulation. The driving behaviour and therefore the local and temporal energy demand is derived from historical user data. The plausibility of the generated load profiles is demonstrated in an exemplary application and is compared with relevant studies.