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ISSN 2753-3239
CCC: 15
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 11.12

A Regenerative Braking Energy Recovering Scheme for High-Speed Maglev

H. Wang1,2,3,4, Y. Zhao1,2,3,4, G. Lin2,3,4, L. Zhang1,2, Y. Luo5, Y. Jin2 and Y. Lin2

1College of Transportation, Tongji University, Shanghai, China
2, National Maglev Transportation Engineering R&D Center, Shanghai, China
3, State Key Laboratory of High-speed Maglev Transportation Technology, China
4State Key Laboratory of High-speed Maglev Transportation Technology, CRRC Qingdao Sifang Co., Ltd, China
5School of Mechanical Engineering, Tongji University, Shanghai, China

Full Bibliographic Reference for this paper
H. Wang, Y. Zhao, G. Lin, L. Zhang, Y. Luo, Y. Jin, Y. Lin, "A Regenerative Braking Energy Recovering Scheme for High-Speed Maglev", 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 11.12, 2026, doi:10.4203/ccc.15.11.12
Keywords: high-speed maglev, regenerative braking energy, energy management, traction power system, energy recovery strategies, energy-efficient train operation, energy storage integration.

Abstract
This paper addresses the inefficient utilization of regenerative braking energy (RBE) in high-speed maglev traction power supply systems, where conventional methods either waste energy via braking resistors or face economic penalties when feeding power back to the grid due to poor power quality. To overcome these limitations, a flexible high-speed maglev traction power supply system integrated with a supercapacitor-based Energy Storage System (ESS) and a corresponding energy management strategy is proposed. The strategy leverages the ESS's load-shifting capability to store RBE during train braking and release it to assist in train traction or shave grid peaks, thereby achieving RBE recovery, peak-shaving and valley-filling. An optimal scheduling model aiming at minimizing the daily operational cost of the system is established. The objective function comprehensively considers grid-side costs. A case study based on the operational data of the Shanghai Maglev Line demonstrates the strategy's effectiveness. The results show a significant reduction in the total daily cost by 8,594.18 CNY. Furthermore, the maximum demand power is reduced from 3.52 MW to 3.14 MW, validating the system's peak-shaving capability. The study concludes that the proposed approach not only enhances energy efficiency but also provides a cost-effective solution for the sustainable development of high-speed maglev transportation.

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