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Research on the Design and Application of Multi-Port Energy Routers

Author

Listed:
  • Xianping Zhu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China
    Guilin Power Supply Bureau of Guangxi Power Grid Co., Ltd., Guilin 541000, China)

  • Weibo Li

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China
    College of Electrical Engineering, Northwest Minzu University, Lanzhou 730124, China)

  • Kangzheng Huang

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Shuai Cao

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Boyu Lin

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Rentai Li

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Wei Xu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

Abstract

At present, the development of the global energy internet is occurring in depth and the construction of a distributed power supply is rapid, and the energy router (ER), as a key device for integrating energy flow and information flow, has important application value in microgrids. In this paper, a multi-port energy router based on a 710 V DC bus is designed and developed with a modular structure design, including core components such as a total controller, a power converter, a hybrid energy storage system, and an auxiliary power supply. Flexible access and the management of multiple-voltage-level ports (690 V AC, 380 V AC, 220 V DC, and 24 V DC) are realized through rational topology design. The test results of the device show that the system performance indexes meet the design requirements. The operation is stable and reliable, displaying strong practical engineering value, and at the same time provides a technical solution that can be borrowed for other special scenarios such as the microgrid system.

Suggested Citation

  • Xianping Zhu & Weibo Li & Kangzheng Huang & Shuai Cao & Boyu Lin & Rentai Li & Wei Xu, 2025. "Research on the Design and Application of Multi-Port Energy Routers," Energies, MDPI, vol. 18(4), pages 1-22, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:866-:d:1589368
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    References listed on IDEAS

    as
    1. Li, Zhengmao & Xu, Yan, 2018. "Optimal coordinated energy dispatch of a multi-energy microgrid in grid-connected and islanded modes," Applied Energy, Elsevier, vol. 210(C), pages 974-986.
    2. Wang, Yi & Cheng, Jiangnan & Zhang, Ning & Kang, Chongqing, 2018. "Automatic and linearized modeling of energy hub and its flexibility analysis," Applied Energy, Elsevier, vol. 211(C), pages 705-714.
    3. Armghan, Hammad & Yang, Ming & Ali, Naghmash & Armghan, Ammar & Alanazi, Abdulaziz, 2022. "Quick reaching law based global terminal sliding mode control for wind/hydrogen/battery DC microgrid," Applied Energy, Elsevier, vol. 316(C).
    4. Saber, Hossein & Mazaheri, Hesam & Ranjbar, Hossein & Moeini-Aghtaie, Moein & Lehtonen, Matti, 2021. "Utilization of in-pipe hydropower renewable energy technology and energy storage systems in mountainous distribution networks," Renewable Energy, Elsevier, vol. 172(C), pages 789-801.
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