MPC-based power management in the shipboard power system

Abstract

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.