Multienergy ship (MES) is a prime transportation cyber-physical system (CPS), relying heavily on advanced information and communication technology for higher efficiency and reliability. The similar topological structures and logical interdependence between cyber and physical spaces of MES might result in multidimensional coupling failures. Therefore, this article proposes a robust cyber-physical co-planning strategy for MES, considering cyber-physical interaction and multidimensional uncertainties. To improve system resilience against uncertainties, an MES cyber-physical model is proposed to co-optimize navigation planning, power management, and communication routing scheduling. In this model, a time-division routing scheduling method is proposed to eliminate the uncertainty of communication latency. Then, a multidimensional uncertainty set is constructed, involving both potential routing link failures (RLFs) in cyberspace and renewable energy fluctuation in physical space. The cyber-physical interaction for energy equipment is constructed to analyze the impact of cyberspace’s RLFs on the physical space. Based on the constructed model, a trilevel MINLP problem is formulated to minimize the RLF’s impact while saving the operation cost by identifying the worst case scenario. A robust co-planning optimization method is developed to linearize and solve the problem effectively by the C-CG algorithm. Case studies show that the proposed strategy demonstrates greater system resilience compared with other strategies.


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    Titel :

    Robust Cyber–Physical Co-Planning for Multienergy Ship Operation Under Multidimensional Uncertainties


    Beteiligte:
    Li, Xin (Autor:in) / Xu, Qimin (Autor:in) / Chen, Cailian (Autor:in) / Yang, Bo (Autor:in) / Jiang, Yuliang (Autor:in) / Zhu, Shanying (Autor:in) / Guan, Xinping (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.12.2024


    Format / Umfang :

    8208215 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch