Uncertain scheduling potential of charging stations under multi-attribute uncertain charging decisions of electric vehicles

A method for analyzing the uncertain adjustability of charging stations (CSs) under the influence of multi-attribute group decision-makings of electric vehicles (EVs) is proposed. Firstly, considering physical constraints of parameters such as charging power and energy stored, a model for characterizing the schedulability of a single EV under different charging modes including rated power charging, adjustable charging, and flexible charging and discharging is constructed. Secondly, since the charging mode selection of EVs is a comprehensive decision considering charging cost, charging time and other attributes, and individual decision-making is often affected by group users, an EV charging mode selection probability model is developed based on the multi-attribute group decision-making theory. Further, scheduling potential boundary parameters of CSs affected by the scheduling potential of all EVs in the station are derived based on the Minkowski sum theory, and their probability characteristics are calculated by combining the charging mode selection probability of single EVs and the schedulability under each mode. Finally, case studies prove the superiority of the proposed theory. •A method for analyzing the uncertain adjustability of charging stations is proposed.•A charging mode selection probability model under effects of group users is studied.•The schedulability of electric vehicles under different charging mode is constructed.•Scheduling potential of a charging station is derived based on the Minkowski sum.•The evaluation of uncertain scheduling potential is much more complete and practical.