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L. Zhang^1,2,3,4, Y. Zhao^1,2,3,4, G. Lin^1,2,3,4, H. Wang^1,2,3,4 and Y. Luo^5,2,3,4

¹College of Transportation, Tongji University, Shanghai, China
²National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai, China
³Key Laboratory of Maglev Technology in Railway Industry, Tongji University, Shanghai, China
⁴State Key Laboratory of High-speed Maglev Transportation Technology, Tongji University, Shanghai, China
⁵School of Mechanical Engineering, Tongji University, Shanghai, China

doi:10.4203/ccc.15.11.16

L. Zhang, Y. Zhao, G. Lin, H. Wang, Y. Luo, "Capacity Configuration Optimization of High-Speed Maglev Traction Power Supply System Based on DAB and Energy Storage System", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 11.16, 2026, doi:10.4203/ccc.15.11.16

Keywords: high-speed maglev, regenerative braking energy, dual active bridge converter, energy storage system, multi-objective optimization, capacity configuration.

Abstract

This paper proposes a high-speed maglev traction power supply system architecture integrating a supercapacitor energy storage system and dual active bridge converters to realize efficient regenerative braking energy recovery and cross-zone utilization. A bi-level optimization model is established, incorporating both operation scheduling and capacity configuration. The inner level formulates a rule-based energy management strategy that dynamically coordinates real-time power allocation among subsystems according to traction load operating characteristics. The outer level develops a multi-objective capacity configuration optimization model with the objectives of minimizing the total lifecycle cost and maximizing the regenerative braking energy utilization rate, and obtains the optimal capacity configuration scheme. Simulation results demonstrate that the proposed method achieves an optimal system configuration, increasing the regenerative braking energy utilization rate to 99.36%, reducing the maximum demand by 20.11%, and lowering the total system lifecycle cost by 9.72%.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 15 PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 11.16 Capacity Configuration Optimization of High-Speed Maglev Traction Power Supply System Based on DAB and Energy Storage System L. Zhang^1,2,3,4, Y. Zhao^1,2,3,4, G. Lin^1,2,3,4, H. Wang^1,2,3,4 and Y. Luo^5,2,3,4 ¹College of Transportation, Tongji University, Shanghai, China ²National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai, China ³Key Laboratory of Maglev Technology in Railway Industry, Tongji University, Shanghai, China ⁴State Key Laboratory of High-speed Maglev Transportation Technology, Tongji University, Shanghai, China ⁵School of Mechanical Engineering, Tongji University, Shanghai, China doi:10.4203/ccc.15.11.16 Full Bibliographic Reference for this paper L. Zhang, Y. Zhao, G. Lin, H. Wang, Y. Luo, "Capacity Configuration Optimization of High-Speed Maglev Traction Power Supply System Based on DAB and Energy Storage System", in J. Pombo, (Editor), "Proceedings of the Seventh International Conference on Railway Technology: Research, Development and Maintenance ", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 15, Paper 11.16, 2026, doi:10.4203/ccc.15.11.16 Keywords: high-speed maglev, regenerative braking energy, dual active bridge converter, energy storage system, multi-objective optimization, capacity configuration. Abstract This paper proposes a high-speed maglev traction power supply system architecture integrating a supercapacitor energy storage system and dual active bridge converters to realize efficient regenerative braking energy recovery and cross-zone utilization. A bi-level optimization model is established, incorporating both operation scheduling and capacity configuration. The inner level formulates a rule-based energy management strategy that dynamically coordinates real-time power allocation among subsystems according to traction load operating characteristics. The outer level develops a multi-objective capacity configuration optimization model with the objectives of minimizing the total lifecycle cost and maximizing the regenerative braking energy utilization rate, and obtains the optimal capacity configuration scheme. Simulation results demonstrate that the proposed method achieves an optimal system configuration, increasing the regenerative braking energy utilization rate to 99.36%, reducing the maximum demand by 20.11%, and lowering the total system lifecycle cost by 9.72%. download the full-text of this paper (PDF, 14 pages, 1230 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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