Optimal Scheduling for Electric Vehicle Charging under Variable Maximum Charging Power

Jinil Han, Jongyoon Park and Kyungsik Lee
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Jinil Han: Department of Industrial and Information Systems Engineering, Soongsil University, Seoul 06978, Korea
Jongyoon Park: Department of Industrial Engineering, Seoul National University, Seoul 08826, Korea
Kyungsik Lee: Department of Industrial Engineering, Seoul National University, Seoul 08826, Korea

Energies, 2017, vol. 10, issue 7, 1-15

Abstract: The large-scale integration of electric vehicles (EVs) into power systems is expected to lead to challenges in the operation of the charging infrastructure. In this paper, we deal with the problem of an aggregator coordinating charging schedules of EVs with the objective of minimizing the total charging cost. In particular, unlike most previous studies, which assumed constant maximum charging power, we assume that the maximum charging power can vary according to the current state of charge (SOC). Under this assumption, we propose two charging schemes, namely non-preemptive and preemptive charging. The difference between these two is whether interruptions during the charging process are allowed or not. We formulate the EV charging-scheduling problem for each scheme and propose a formulation that can prevent frequent interruptions. Our numerical simulations compare different charging schemes and demonstrate that preemptive charging with limited interruptions is an attractive alternative in terms of both cost and practicality. We also show that the proposed formulations can be applied in practice to solve large-scale charging-scheduling problems.

Keywords: electric vehicle; charging; scheduling; aggregator; preemptive charging; non-preemptive charging (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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