Optimal Scheduling for Electric Vehicle Charging under Variable Maximum Charging Power

Autor: Jong-Yoon Park, Kyungsik Lee, Jinil Han
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