Online Coordination of Electric Vehicle Charging for Balanced Operating Profit and User Dissatisfaction

This paper investigates the charging scheduling problem for electric vehicles (EVs) among charging stations. Firstly, the charging scheduling problem is formulated as a feasibility problem, ensuring compliance with pre-departure energy requirements while considering constraints on charging rate and total power consumption. Subsequently, the feasibility problem is transformed into an online single-time-slot optimization problem to achieve the trade-off between the profits of the charging station operators and the charging satisfaction for the users, without the knowledge of future arrivals and demands of EVs. Finally, a real-time centralized scheduling algorithm is proposed, which can provide an optimal solution for the formulated problem. Additionally, a hierarchical scheduling algorithm is given to address the power limitations of the charging station with reduced computation complexity, minimum data transmission rate. Numerical results demonstrate the advantages of the proposed methods.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-01-01
DOI
https://doi.org/10.1109/tvt.2025.3616140
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Online Coordination of Electric Vehicle Charging for Balanced Operating Profit and User Dissatisfaction

Ge Guo, Miaomiao Ma, Ling Cai, Longyuan Shi
IEEE Transactions on Vehicular Technology
Electric Vehicles and Infrastructure
article

Online Coordination of Electric Vehicle Charging for Balanced Operating Profit and User Dissatisfaction

Ge Guo, Miaomiao Ma, Ling Cai, Longyuan Shi
article en

Abstract

This paper investigates the charging scheduling problem for electric vehicles (EVs) among charging stations. Firstly, the charging scheduling problem is formulated as a feasibility problem, ensuring compliance with pre-departure energy requirements while considering constraints on charging rate and total power consumption. Subsequently, the feasibility problem is transformed into an online single-time-slot optimization problem to achieve the trade-off between the profits of the charging station operators and the charging satisfaction for the users, without the knowledge of future arrivals and demands of EVs. Finally, a real-time centralized scheduling algorithm is proposed, which can provide an optimal solution for the formulated problem. Additionally, a hierarchical scheduling algorithm is given to address the power limitations of the charging station with reduced computation complexity, minimum data transmission rate. Numerical results demonstrate the advantages of the proposed methods.

IEEE Transactions on Vehicular Technology
Beijing Institute of Technology (CN), North China Electric Power University (CN), Northeastern University (CN)
Openalex Percentile: Top 73%
Electric Vehicles and Infrastructure
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