Fuzzy logic based energy storage supervision and control strategy for mvdc power system of all electric ship

Abstract

The power management strategy in an MVDC based power system of all electric ship (AES) with Hybrid Energy Storage System (HESS) can greatly affect the energy efficiency of the system. Based on the analysis of power flow, the load characteristics, the power management objectives, constraints and the ease of implementation in MVDC power system, the battery and the super capacitor are considered as the viable storage devices. The dual active bridge (DAB) converter is used to connect HESS with MVDC bus. A fuzzy logic based supervision and control strategy is designed to control the power flow between the energy storage device and MVDC system. The fuzzy logic supervisor can produce the demanded reference power of HESS to meet the load power requirement. The instantaneous reference power is used to control the charging and discharging of HESS. The MVDC power system, the load and DAB converters have been built using Matlab/simulink. The simulation results show that the fuzzy logic supervision and control strategy are capable of managing the power of an MVDC system with HESS.