  Integration of modern defence weapons into ship power systems poses a
challenge in terms of meeting the high ramp rate requirements of those loads.
It might be demanding for the generators to meet the ramp rates of these loads.
Failure to meet so, might lead to stability issues. This is addressed by
conglomeration of generators and energy storage elements to handle the required
power demand posed by loads. This paper proposes an energy management strategy
based on model predictive control that incorporates the uncertainty in the load
prediction. The proposed controller optimally coordinates the power split
between the generators and energy storage elements to guarantee that the power
demand is met taking into considerations the ramp rate limitations and the load
uncertainty. A low bandwidth model consisting of a single generator and a
single energy storage element is used to validate the results of the proposed
energy management strategy. The results demonstrate the robustness of the
controller under load prediction uncertainty and demonstrate the effect of load
uncertainty on battery capacity loss.
