Next Article in Journal
Assessing the Efficiency of Phragmites australis in Wastewater Treatment as a Natural Approach to Water Quality Improvement
Previous Article in Journal
A Proposal for the Improvement of Daylight Integration and Distribution in the Educational Interior Space Through a (Pro-Sun) Ceiling Design with Curved Surfaces
Previous Article in Special Issue
Optimizing Sustainability Offshore Hybrid Tidal-Wind Energy Storage Systems for an Off-Grid Coastal City in South Africa
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Charging Scheduling of Electric Vehicles Considering Uncertain Arrival Times and Time-of-Use Price

1
Business School, Ningbo University, Ningbo 315211, China
2
Merchants’ Guild Economics and Cultural Intelligent Computing Laboratory, Ningbo University, Ningbo 315211, China
3
Glorious Sun School of Business and Management, Donghua University, Shanghai 200051, China
4
School of Economics and Management, Tongji University, Shanghai 200092, China
*
Author to whom correspondence should be addressed.
Sustainability 2025, 17(3), 1100; https://doi.org/10.3390/su17031100
Submission received: 28 October 2024 / Revised: 20 December 2024 / Accepted: 27 January 2025 / Published: 29 January 2025

Abstract

To advance sustainable transportation solutions, this work investigates an electric vehicle charging scheduling problem under the uncertainty of vehicle arrival times. Given a set of appointed electric vehicles, the objective of the considered problem is to explore charging strategies that minimize the total charging cost for the charging station. To address this problem, this work first establishes a mixed-integer programming model. Then, an enhanced sample average approximation approach alongside two versions of distribution-free approaches are applied to solve the studied problem. Additionally, this study introduces a BP neural network-enhanced distribution-free approach to efficiently resolve the problem. Finally, numerical experiments are conducted to demonstrate the effectiveness of the proposed approaches.
Keywords: charging scheduling; electric vehicles; uncertain arrival times; distribution-free; numerical experiments charging scheduling; electric vehicles; uncertain arrival times; distribution-free; numerical experiments

Share and Cite

MDPI and ACS Style

Wang, Z.; Zheng, F.; Liu, M. Charging Scheduling of Electric Vehicles Considering Uncertain Arrival Times and Time-of-Use Price. Sustainability 2025, 17, 1100. https://doi.org/10.3390/su17031100

AMA Style

Wang Z, Zheng F, Liu M. Charging Scheduling of Electric Vehicles Considering Uncertain Arrival Times and Time-of-Use Price. Sustainability. 2025; 17(3):1100. https://doi.org/10.3390/su17031100

Chicago/Turabian Style

Wang, Zhaojie, Feifeng Zheng, and Ming Liu. 2025. "Charging Scheduling of Electric Vehicles Considering Uncertain Arrival Times and Time-of-Use Price" Sustainability 17, no. 3: 1100. https://doi.org/10.3390/su17031100

APA Style

Wang, Z., Zheng, F., & Liu, M. (2025). Charging Scheduling of Electric Vehicles Considering Uncertain Arrival Times and Time-of-Use Price. Sustainability, 17(3), 1100. https://doi.org/10.3390/su17031100

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop