Impact of E-Mobility Penetration on Community Electricity Storage

This paper presents a holistic modeling approach for the optimum sizing of electricity energy storage (EES) units for local energy communities (LECs) with electric vehicle (EV) charging and renewable resources. We investigate technical and economic benefits of LECs for various EV penetration rates. We develop a dataset for a large number of randomly aggregated community demands with EV. The optimization model determines the optimum battery capacities for each case. The research findings are applicable for the optimum sizing of EES for LECs with E-mobility even though concrete household and EV load patterns are unknown due to the high number of community demands examined.