Considering Control Approaches for Electric Vehicle Charging in Grid Planning

In this publication, we introduce a methodology for power system planning that considers grid-friendly electric vehicle (EV) charging, which is developed within the research project "Ladeinfrastruktur 2.0" [1]. This publication shows how control strategies for EV charging can be integrated into probabilistic, time-series-based grid planning approaches to determine necessary grid reinforcement and extension measures. Since this method can be computationally expensive, the efficient integration of control strategies into this process is crucial. In order to compare practical and simulated findings, control strategies based on the field test project "E-Mobility-Allee" by the German distribution system operator (DSO) Netze BW [2] are applied in simulations. The methodology presented in this paper is developed for this purpose and applied in a case study with a real low voltage (LV) grid. Finally, conclusions regarding the field test and real-life applications are drawn based on the results of the case study, which indicate that the selected control strategies can lead to a reduction of necessary grid reinforcement and extension measures.