Co-simulation of behavioral and technical decisions: an application to impact analysis of EV charging on hosting capacity of LV distribution network

The energy transition brings an increasing penetration of electric vehicles (EVs) aligning Swiss Energy Strategy 2050. It is important for the grid planner to anticipate the possible impact of EV charging on the hosting capacity (HC) of electricity distribution network in the next years. To identify and quantify such impact, the evolution model of EV fleets, the electrical network topology and the access to proprietary data are equivalently necessary. This work studies a low voltage distribution network (LVDN) for a touristic area located in Swiss Alpine region in collaboration with the local distribution system operators (DSOs). We approach this issue with an innovative method that combines inspired agent-based model implementing insights from a Social Sciences and Humanities (SSH) and an engineering model of the local distribution grid. The co-simulation results indicate that the power demand from EVs charging will have a significant impact on the LVDN’s hosting capacity, especially on holidays’ eves. The DSOs should advance proactive measures to prepare for future scenarios. The developed co-simulation model can be used to explore and evaluate potential solutions for network planning and design.