Dynamic power management for all-electric ships based on data-driven propulsion power modelling

Among all types of onboard load demands in all-electric ships (AESs), the propulsion power predominates (usually >70%), and a large-scale hybrid energy storage system (HESS) tends to be installed to provide multi-timescale flexibility. A two-part dynamic power management method is therefore proposed consisting of a novel multi-scenario propulsion power model, which models the impacts of floating conditions separately from other uncertain factors, and a three-layer dynamic allocation strategy based on feedforward control to coordinate the main/auxiliary generators and the HESS. Three case studies are adopted to verify the validity of the proposed method, including a real-time simulation experiment in RT-Lab. The proposed method has three advantages: (1) the proposed multi-scenario propulsion power model accounts for power fluctuations brought by floating conditions, which greatly alleviates the required regulating flexibility for AESs; (2) the proposed three-layer dynamic power allocation strategy better shares the power demand on the main/auxiliary generators and the HESS, which reduces battery power fluctuations and prevents the overdischarging/overcharging of HESS; and (3) the RT-Lab experiment proves that the proposed method can be used in real-time applications for AESs.

Automated summary

This study proposes a two-part dynamic power management method for all-electric ships (AESs), including a novel multi-scenario propulsion power model and a three-layer dynamic allocation strategy based on feedforward control. Three case studies are conducted to verify its effectiveness. The proposed method has three advantages: accounting for power fluctuations brought by floating conditions, better sharing of power demand, and real-time applicability.