Journal of Shanghai Jiao Tong University ›› 2025, Vol. 59 ›› Issue (12): 1784-1794.doi: 10.16183/j.cnki.jsjtu.2024.016

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Design and Optimization of Freight Railway Energy Storage Traction System for Time-Sharing Cross-Regional Peak Shaving and Valley Filling

YANG Huanhong1, YANG Zhenyu1(), HUANG Wentao2, CHAI Lei1, WANG Yuxuan1, YE Jingyuan1   

  1. 1 School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2 Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2024-01-10 Revised:2024-04-21 Accepted:2024-06-06 Online:2025-12-28 Published:2025-12-30
  • Contact: YANG Zhenyu E-mail:zhenyu2127@163.com

Abstract:

To address the difficulties in adjusting new energy resources along electrified railways, uneven load distribution, and waste of potential energy in loading and unloading operations after trains arrive at stations, a design optimization strategy is proposed for the energy storage traction system of cross-regional freight railways. A time-sharing zoning electricity price model and an energy storage traction system capacity optimization allocation model are developed to guide load time shifting to achieve peak shaving and valley filling in different time domains and geographical spans by analyzing the spatiotemporal characteristics of mobile energy storage charging and discharging. Then, an energy management strategy is proposed aiming at maximizing the daily operating efficiency. The calculation example verifies that the designed energy storage traction system and its operation strategy can effectively improve the economic benefits during the operation cycle of the train, promote energy consumption along the line, and have important reference value for the low-carbon operation of electrified railways.

Key words: electrified railway, mobile energy storage system (MESS), peak shaving and valley filling, capacity configuration, time and zonal price

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