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Display of scientific, educational and project achievements

Energy

Partner Universities
1. Beijing Union University
2. Beijing Jiaotong University
Beijing Union University
  • Application of Energy Storage Systems in Power Grids, Renewable Energy, and Rail Transport
    (Institute of Urban Rail Transit and Logistics)

    Research on energy storage systems for enhancing grid capabilities, frequency regulation, peak shaving, renewable energy integration, and braking energy recovery in rail transport. The study also covers lithium-ion battery safety management and campus-level energy optimization.

    Hou Zhaoyong

    13 426 263 603

    178 199 444@qq.com

Beijing Jiaotong University
  • Optimization of the Maglev Integrated Power, Control, and Propulsion System (Optimization of the Maglev Unified Power, Control, and Propulsion System).
    (BJU)

    This project aims to optimize the maglev integrated power, control, and propulsion system, focusing on stator section placement and traction power supply regulation strategies for maglev transport. By developing a train dynamics model considering multi-field physical constraint coupling, a spatio-temporal energy efficiency co-optimization algorithm is proposed, achieving global optimization of maglev train operation energy efficiency. The model and algorithm were experimentally validated using the Beijing Maglev line as an example.

    Kang Liujiang

    +(86)18810294611

  • Fault Management and Maintenance System for Distribution Networks Based on the Integration of Physical Mechanism Analysis and Fault Data Processing.
    (BJU)
    A joint Chinese-Russian student team will conduct research on this topic, integrating the advantages of Chinese smart grid operation technologies and Russian experience in integrating renewable energy into complex power systems. Applying the technology of integrating physical mechanism analysis and fault data processing, the team will perform deep processing and analysis of distribution network operational data, achieving:
    Accurate fault type identification
    Rapid fault location
    Timely provision of a restoration plan.
    This will effectively improve distribution network fault resolution efficiency and ensure power supply stability.

    Kang Liujiang

    +(86)18810294611