Optimization of night electric vehicle fleet charging at regional level

Abstract

Electrification of the road transportation sector is one of the ways to reduce the green-house gases (GHGs) emissions worldwide, but an increasing number of electric vehicles (EVs), will impact on the power system, particularly on the residential distribution low-voltage grid. In order to reduce this impact during the peak periods, it is possible for these vehicles to get energy not only from the grid, but also from other EVs parked at the same time in the same place through a peer to peer (P2P) energy trading. In this paper a night charging method that optimizes the recharging process of an EV fleet at regional level depending on hourly energy price in a P2P energy trading system is presented. This algorithm determines how much energy should be recharged in the battery of each EV and the corresponding time slot to do it, avoiding the discontinuities in the charging process and considering the users’ personal mobility constraints.