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Article

Stochastic Optimal Scheduling of Flexible Traction Power Supply System for Heavy Haul Railway Considering the Online Degradation of Energy Storage

by
Zhe Li
1,
Yanlin He
2,*,
Gaoqiang Peng
2 and
Jie Yin
1
1
CHN Energy Shuohuang Railway Development Co., Ltd., Cangzhou 062350, China
2
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2025, 16(4), 206; https://doi.org/10.3390/wevj16040206
Submission received: 27 February 2025 / Revised: 13 March 2025 / Accepted: 26 March 2025 / Published: 1 April 2025
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Abstract

The heavy-haul flexible traction power supply system (HFTPSS), integrated with an energy storage system (ESS) and power flow controller (PFC), offers significant potential for improving energy efficiency and reducing costs. However, the state of ESS capacity and the uncertainty of traction power significantly affect HFTPSS operation, creating challenges in fully utilizing flexibility to achieve economic system operation. To address this challenge, a classical scenario generation approach combining long short-term memory (LSTM), Latin hypercube sampling (LHS), and fuzzy c-means (FCM) is proposed to quantitatively characterize traction power uncertainty. Based on the generated scenarios, and considering the energy balance and safe operation constraints of HFTPSS, a stochastic optimal energy dispatch model is developed. The model aims to minimize the operational cost for heavy-haul electrified railways (HERs) while accounting for the impact of online ESS capacity degradation on the energy scheduling process. Finally, the effectiveness of the proposed strategy and model is validated using operational data from a real HER system.
Keywords: battery degradation; flexible traction power supply system; mixed-integer linear programming; stochastic optimization battery degradation; flexible traction power supply system; mixed-integer linear programming; stochastic optimization

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MDPI and ACS Style

Li, Z.; He, Y.; Peng, G.; Yin, J. Stochastic Optimal Scheduling of Flexible Traction Power Supply System for Heavy Haul Railway Considering the Online Degradation of Energy Storage. World Electr. Veh. J. 2025, 16, 206. https://doi.org/10.3390/wevj16040206

AMA Style

Li Z, He Y, Peng G, Yin J. Stochastic Optimal Scheduling of Flexible Traction Power Supply System for Heavy Haul Railway Considering the Online Degradation of Energy Storage. World Electric Vehicle Journal. 2025; 16(4):206. https://doi.org/10.3390/wevj16040206

Chicago/Turabian Style

Li, Zhe, Yanlin He, Gaoqiang Peng, and Jie Yin. 2025. "Stochastic Optimal Scheduling of Flexible Traction Power Supply System for Heavy Haul Railway Considering the Online Degradation of Energy Storage" World Electric Vehicle Journal 16, no. 4: 206. https://doi.org/10.3390/wevj16040206

APA Style

Li, Z., He, Y., Peng, G., & Yin, J. (2025). Stochastic Optimal Scheduling of Flexible Traction Power Supply System for Heavy Haul Railway Considering the Online Degradation of Energy Storage. World Electric Vehicle Journal, 16(4), 206. https://doi.org/10.3390/wevj16040206

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