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Power Management and Control for Flexible Traction Substation in Railway Hub Integrated with ESS, PV, and EV

  • Junyu Chen
  • , Yue Zhao
  • , Minghao Wang*
  • , Xue Lyu
  • , Kai Yang
  • , Yinbo Ge
  • , Xiaofeng Jiang
  • , Pengyu Pan
  • , Ke Jia
  • , Zhao Xu
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

It is promising to integrate the energy storage system (ESS), photovoltaic (PV), and electric vehicles (EVs) into the rail-way hub to achieve a flexible traction substation (FTSS) for decarbonizing the energy supply and enhancing the energy efficiency. However, the FTSS performance heavily depends on power flow management and control under complex and dynamic operating conditions. To address this issue, a centralized power flow control strategy synthesizing a joint active and reactive power manage-ment strategy (PMS) and a master-salve-based converter control strategy is proposed. The proposed PMS is executed in a central controller to determine the real-time power commands for converters by employing a joint active and reactive power command generation algorithm. Specifically, a two-stage linear optimization problem is formulated to optimize active power commands so that the utilization of regenerative braking energy (RBE) and PV energy can be maximized. Subsequently, reactive power commands are calculated based on the residual converter capacities to im-prove the power quality of the traction power system and railway distribution system. Based on the power commands from the central controller, the master-salve control coordinates the local controllers of converters for power flow control. The efficacy and su-periority of the proposed method are demonstrated through experiment and field load data-based evaluation and comparison. Besides, the implementation of the proposed method is discussed from the energy trading mechanism and application scenario. © 2026 IEEE.
Original languageEnglish
Pages (from-to)4230-4245
Number of pages16
JournalIEEE Transactions on Smart Grid
Volume17
Issue number5
Online published23 Jun 2026
DOIs
Publication statusPublished - Sept 2026

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 52407144; in part by Macao Science and Technology Development Fund (FDCT) under Grant 0077/2024/AMJ and Grant 0063/2023/RIB3; in part by Grant HUMRI-CP-004-2026; in part by the Science and Technology Development Fund, Macau, SAR, under Project 001/2024/SKL and Project 0002/2025/EQP; in part by Grant MYRG-GRG2025-00203-IOTSC; in part by the State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources under Grant LAPS24004; in part by China PostDoctoral Science Foundation under Grant 2021M693815; and in part by Sichuan Science and Technology Program under Grant 2024NSFSC0121. Paper no. TSG-01921-2023.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • energy storage system
  • flexible traction substation
  • photovoltaic
  • power flow control strategy
  • regenerative braking energy

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