Abstract:

A shared autonomous electric vehicle (SAEV) fleet and the vehicle-to-grid (V2G) strategy both have great potential to reduce GHG emissions. As these concepts have complementary value, they are even more promising combined. Both mobility requirements and grid constraints must be considered when determining the best charging infrastructure (CI) allocation for SAEVs with V2G operations. In this paper, the authors find that optimization models are the most frequently used method to solve the CI allocation problem. The authors conduct separate examinations of the V2G and SAEVs location optimization models formulated in the literature, for which objective functions are used, and which constraints are considered (with respect to mobility and the electric grid). The study finds that SAEV and V2G models have overlapping elements but remain disjunct in their respective perspectives. CI allocation for SAEVs mainly considers mobility but tends to ignore grid constraints or impacts. On the other hand, CI allocation for V2G focuses on the distribution network and the grid, forgetting about mobility demand. Future studies should combine mobility and grid characteristics to identify the ideal CI locations for SAEVs with V2G viability to utilise the SAEV-V2G potential fully.