The increasing affordability of electric vehicles (EVs) and their role in the energy transition make their widespread adoption inevitable. Existing literature employs diverse methodologies and assumptions to quantify the growth in EV deployment and the spatial distribution of charging infrastructure. Despite extensive research on EV adoption and its effects on local grids, the impact of regulatory based development remains underexplored. This case study employs a scenario-based approach to model this expansion, accompanied by a detailed analysis of the impact of the charging infrastructure development on the local electricity grid. Furthermore, various scenarios for EU regulatory compliance regarding EV integration are evaluated, investigating how these regulations shape e-mobility infrastructure development and influence grid stability.

This paper examines the impact of regulatory-driven development on e-mobility infrastructure and grid stability through a case study of a German residential district. Simulations are conducted at five-year intervals until 2045, accounting for building renovation rates, EV adoption, and PV expansion. Subsequently, the implications of the increased power demand on the electrical grid will be examined by conducting a Power Flow Analysis using the Open-Source Tool PandaPower. Demand side management is then assessed for grid operators and end consumers. The analysis relies on open-source datasets, including German building typologies, household surveys, and the German charging station register. Simulations utilize the energy planning data model Odeon, developed by Fraunhofer IEG, while EV mobility patterns are modelled via the MILP framework datafev from E.ON ERC at RWTH Aachen, ensuring a comprehensive representation of charging behavior and energy demand.

The results of this study will illustrate how regulatory policies influence the deployment of EV charging infrastructure and consequently the grid stability in urban areas. Time-series load profiles will be developed at key points of interest, identifying regional demand hotspots. The analysis will focus on optimizing EV integration and allocation of future charging infrastructure, while also evaluating alternative flexibility options. The case study will provide valuable insights into planning future e-mobility infrastructure and exploring local flexibility solutions within the energy system. Ultimately, this research will offer valuable insights for cities, planners, and utilities in preparing for the growing impact of electric mobility on urban energy systems.