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Chinese Journal of Ship Research, Volume. 20, Issue 3, 241(2025)

Shipboard power system dynamic reconfiguration optimization strategy considering time-varying load characteristics

Qihuan WU, Zhiyu ZHU, Weihan HAO, Denghao YANG, and Cheng XU
Author Affiliations
  • College of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China
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    References(4)

    [5] ZHU W L, SHI J, ZHI P F et al. Distributed reconfiguration of a hybrid shipboard power system[J]. IEEE Transactions on Power Systems, 36, 4-16(2021).

    [6] WANG C, LIU Y C, ZHAO Y T. Application of dynamic neighborhood small population particle swarm optimization for reconfiguration of shipboard power system[J]. Engineering Applications of Artificial Intelligence, 26, 1255-1262(2013).

    [17] ZHANG L J, SUN J B, GUO C. A novel multi-objective discrete particle swarm optimization with elitist perturbation for reconfiguration of ship power system[J]. Polish Maritime Research, 24, 79-85(2017).

    [18] ZHANG W, SHI W F, ZHUO J B. BDI-agent-based quantum-behaved PSO for shipboard power system reconfiguration[J]. International Journal of Computer Applications in Technology, 55, 4-11(2017).

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    Qihuan WU, Zhiyu ZHU, Weihan HAO, Denghao YANG, Cheng XU. Shipboard power system dynamic reconfiguration optimization strategy considering time-varying load characteristics[J]. Chinese Journal of Ship Research, 2025, 20(3): 241

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    Paper Information

    Category: Marine Machinery, Electrical Equipment and Automation

    Received: Jan. 8, 2024

    Accepted: --

    Published Online: Jul. 15, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03725

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology