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Simulation-Based Modeling and Power Management of All-Electric Ships Based on Renewable Energy Generation Using Model Predictive Control Strategy

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PROJECT TITLE :

Simulation-Based Modeling and Power Management of All-Electric Ships Based on Renewable Energy Generation Using Model Predictive Control Strategy

ABSTRACT:

During this paper, an integrated power system (IPS) primarily based on fuel cell (FC), battery, photovoltaic panels (PV), and two diesel generators is proposed and modeled for an all-electric ship to handle a answer for the high pollution ensuing from conventional ships. Twin active bridge (DAB) converter and its nonlinear average model that is faster and additional suitable for system-level studies has been used as power electronic interface. A decentralized model predictive management (MPC) strategy is additionally designed to manage the modules of the IPS. A hierarchical control technique with virtual droop management is proposed to regulate the ability generation of diesel generators and regulate the DC link voltage of the IPS. Moreover, a power management strategy for efficient operation of diesel generators, FC and battery is taken into account in this study. It is vital to notice that, the diesel generators thought of in this power system make this ship more applicable for longer voyages. The proposed system has been studied in numerous operational modes considering the battery and cargo conditions in MATLAB/SIMULINK setting and its validity is shown through the obtained results. Furthermore, the simulation results show good response in an exceedingly future that is a sign of its suitability for system-level studies.


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Simulation-Based Modeling and Power Management of All-Electric Ships Based on Renewable Energy Generation Using Model Predictive Control Strategy - 4.9 out of 5 based on 70 votes

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