Integration of flexible charging processes of battery electric vehicles in transmission grid congestion management

The integration of renewable energy sources (RES) and new load-flexible consumers, coupled with the zonal electricity market design in Europe, presents a prospective challenge of increasing congestion situations in the power grid. In response, this paper proposes an approach for the consideration of intelligently controlled battery electric vehicle (BEV) charging as an additional congestion management measure within conventional redispatch simulations on transmission grid level. An aggregation method for individual BEV charging processes through the utilization of superimposed clustering algorithms is introduced. This allows the integration of a large number of temporally and spatially distributed charging processes into a cost-minimization based congestion management simulation under consideration of time coupling constraints. The presented methodology is implemented and tested within the Model of International Energy Systems (MILES), developed at TU Dortmund. It is demonstrated, how the introduced approach enables the analysis of the impact and optimal utilization of BEV charging control in congestion management. It is shown, that the approach allows a runtime efficient consideration of BEVs in national scale scenarios while ensuring a high spatial and temporal resolution of the adjustments.