The energy-saving characteristics of diesel-electric series hybrid ships largely depend on their energy management strategy. In this paper, a strategy that combines dynamic programing and model predictive control (DP-MPC) is proposed to solve the energy management problems of diesel-electric hybrid ships. The DP-MPC strategy has considered some typical working conditions of a ship, and the corresponding influence of white noise disturbance on the control strategy was studied. The simulation results show that the DP-MPC strategy has an excellent anti-interference capability. The control performance of the DP-MPC strategy is then further analyzed and compared with the rule-based logic threshold control strategy. The simulation results show that the proposed DP-MPC strategy can save 2.5% of the fuel consumption and has a better anti-interference capability than the rule-based control strategy.


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    Titel :

    A novel hybrid energy management strategy of a diesel-electric hybrid ship based on dynamic programing and model predictive control


    Beteiligte:
    Yuan, Yupeng (Autor:in) / Chen, Mingshuang (Autor:in) / Wang, Jixiang (Autor:in) / Yu, Wanneng (Autor:in) / Shen, Boyang (Autor:in)


    Erscheinungsdatum :

    2022-08-01


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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