  In current Medium Voltage DC (MVDC) Shipboard Power Systems (SPSs), multiple
sources exist to supply power to a common dc bus. Conventionally, the power
management 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 hybrid
Energy Storage Systems (ESSs). This paper presents a model and load predictive
control framework for power and energy management of SPSs. Here, MPC with load
prediction is used for three main objectives: (1) to request power and energy
from generators and energy storage elements according to their individual State
of Power (SOP) and ramp-rate limitations, (2) to consider and integrate the
generator 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. The
solution of the optimization problem is demonstrated using MATLAB and the
functionality of the control framework is validated in real-time simulation
environment.
