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In current Medium Voltage DC (MVDC) Shipboard Power Systems (SPSs), multiplesources exist to supply power to a common dc bus. Conventionally, the powermanagement of such systems is performed by controlling Power Generation Modules(PGMs) which include fuel operated generators and underlying converters.Moreover, energy management is performed by the emerging single or hybridEnergy Storage Systems (ESSs). This paper presents a model and load predictivecontrol framework for power and energy management of SPSs. Here, MPC with loadprediction is used for three main objectives: (1) to request power and energyfrom generators and energy storage elements according to their individual Stateof Power (SOP) and ramp-rate limitations, (2) to consider and integrate thegenerator cost and degradation, and (3) to reach a specific parking (final)State of Charge (SOC) for the ESSs at the end of the prediction horizon. Thesolution of the optimization problem is demonstrated using MATLAB and thefunctionality of the control framework is validated in real-time simulationenvironment.

Model and Load Predictive Control for Design and Energy Management of Shipboard Power Systems