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

Fuzhang Wu, Jun Yang, Bin Li, Emanuele Crisostomi, Hogir Rafiq and Ghamgeen Izat Rashed

Applied Energy, 2024, vol. 374, issue C, No S0306261924014193

Abstract: 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.

Keywords: Electric vehicles; Minkowski sum theory; Multi-attribute group decision; Uncertain charging modes selection; Uncertain scheduling potential of CSs (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.apenergy.2024.124036

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