Degradation Aware Predictive Energy Management Strategy for Ship Power Systems

TL;DR

This paper introduces a model predictive control-based energy management strategy for ship power systems that accounts for load prediction uncertainty, ensuring stability and optimizing power distribution between generators and energy storage.

Contribution

It presents a novel control approach that handles load uncertainty and ramp rate limitations in ship power systems, validated through a simplified model.

Findings

Controller is robust under load prediction uncertainty

Load uncertainty impacts battery capacity loss

Effective coordination of generators and storage improves stability

Abstract

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.