This paper represents the development of an intelligent control by applying model predictive control to the power management of a DC-based ship system. In a shipboard power system, the control approach should ensure optimal load sharing among generators while maintaining the DC bus voltage stability. Model predictive control is a promising optimal control which has been proven to be efficient and robust for dynamic systems. Model predictive control is applied in order to meet the load centric energy/power demand. It will provide a predictive and adaptive approach to energy/power management routines. The algorithm and method are presented and validated through simulation in MATLAB/Simulink and PLECS.


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    Title :

    MPC-based power management in the shipboard power system


    Contributors:
    Paran, S. (author) / Vu, T. V. (author) / Mezyani, T. El (author) / Edrington, C. S. (author)


    Publication date :

    2015-06-01


    Size :

    772503 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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