1. School of Electrical Engineering, Shenyang University of Technology,Shenyang,China
2. Contribution: Formal analysis, Funding acquisition, Methodology, Project administration, Writing - original draft, Writing - review & editing
3. Contribution: Methodology, Software, Validation, Writing - original draft
4. Shandong Electric Power Corporation, State Grid Yutai Power Supply Company, Yutai,China
5. Contribution: Methodology, Software, Validation, Visualization, Writing - review & editing
6. Contribution: Software, Methodology, Supervision, Writing - review & editing
7. Department of Energy Technology, Aalborg University, Aalborg,Denmark
8. Contribution: Investigation, Resources, Supervision, Writing - review & editing
9. School of Electrical and Electronic Engineering, North China Electric Power University,Beijing,China
10. Contribution: Data curation, Visualization, Writing - review & editing
11. Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa
12. Contribution: Methodology, Supervision, Writing - review & editing
13. China Railway, Electrification Engineering Group CO., Ltd,Beijing,China
14. Contribution: Data curation, Investigation
15. Contribution: Investigation, Supervision, Visualization
16. Contribution: Funding acquisition, Project administration, Supervision
纸质出版:2025
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Haixin Wang, Siyu Chen, Jiahui Yuan, 等. Pricing-based coordinated scheduling for multiple EV charging stations considering capacity prediction and service radius[J]. Energy Conversion and Economics, 2025,6(4).
Haixin Wang, Siyu Chen, Jiahui Yuan, et al. Pricing-based coordinated scheduling for multiple EV charging stations considering capacity prediction and service radius[J]. Energy Conversion and Economics, 2025, 6(4).
Haixin Wang, Siyu Chen, Jiahui Yuan, 等. Pricing-based coordinated scheduling for multiple EV charging stations considering capacity prediction and service radius[J]. Energy Conversion and Economics, 2025,6(4). DOI: 10.1049/enc2.70018.
Haixin Wang, Siyu Chen, Jiahui Yuan, et al. Pricing-based coordinated scheduling for multiple EV charging stations considering capacity prediction and service radius[J]. Energy Conversion and Economics, 2025, 6(4). DOI: 10.1049/enc2.70018.
Electric vehicle (EV) charging station scheduling can maximize profits by optimizing charging prices. Many existing scheduling methods emphasize aggregator profits and still have limited consideration of inter-station coordination and the dynamic service radius. The prediction accuracy of schedulable capacity indirectly affects the profits of aggregators. In addition
the prediction accuracy of schedulable capacity is affected by the uncertainty of station selection
which has also been neglected. To address these issues
a pricing-based coordinated scheduling framework for multiple charging stations is proposed. The propose framework incorporates a dynamic service radius and schedulable capacity prediction models. The framework includes an analysis of EV station selection behaviour under joint decision-making and the development of a dynamic service radius model for charging stations. Additionally
a schedulable capacity prediction model is constructed by integrating physical modelling with a data-driven approach based on long short-term memory networks. Compared with the peak-valley pricing-based schedule method and Stackelberg-based pricing method
the aggregator profit is enhanced by the application of the proposed framework.
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