Integrating Control Strategies for Electric Vehicle Charging into a Simultaneity-Factor-Based Grid Planning Approach

Abstract:
In this publication, we introduce a methodology for power system planning that enables large-scale analyses with the consideration of control strategies for electric vehicle charging. This methodology is developed within the research project Ladeinfrastruktur 2.0. A part of the scope of this project is deriving recommendations for a cost-optimized integration of charging infrastructure into the electric distribution system. In we introduced a time-series-based planning approach which can consider different types of control strategies and allows detailed analyses of their influence on selected grids as well as required grid reinforcement and extension measures. We further extended this planning approach by incorporating a simultaneity-factor-based method for determining worst case grid situations without the need for time series simulations, which enables large-scale grid analyses and grid planning studies. This facilitates more general conclusions regarding the effect of control strategies for electric vehicle charging on the need for grid reinforcement and extension measures. To illustrate the functionality of this new methodology, a case study with a large number of real German low voltage grids is performed. The case study highlights the feasibility of large-scale studies with the presented methodology. It also shows how the modeled grid-friendly control strategy for electric vehicle charging contributes to the mitigation of grid violations and therefore the reduction of required grid reinforcement and extension measures, while the considered market-oriented approaches have the opposite effect.