Optimal Scheduling for Electric Vehicle Charging under Variable Maximum Charging Power
Autor: | Jong-Yoon Park, Kyungsik Lee, Jinil Han |
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Rok vydání: | 2017 |
Předmět: |
Mathematical optimization
Engineering Control and Optimization business.product_category 020209 energy Real-time computing 0211 other engineering and technologies Energy Engineering and Power Technology 02 engineering and technology computer.software_genre lcsh:Technology News aggregator Scheduling (computing) Electric power system Hardware_GENERAL Electric vehicle 0202 electrical engineering electronic engineering information engineering scheduling Electrical and Electronic Engineering Computer Science::Operating Systems Engineering (miscellaneous) 021103 operations research lcsh:T Renewable Energy Sustainability and the Environment business.industry electric vehicle charging aggregator preemptive charging non-preemptive charging State of charge Optimal scheduling business computer Energy (miscellaneous) |
Zdroj: | Energies, Vol 10, Iss 7, p 933 (2017) Energies; Volume 10; Issue 7; Pages: 933 |
ISSN: | 1996-1073 |
Popis: | 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. |
Databáze: | OpenAIRE |
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