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

Abstract

Abstract 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.

Keywords

• electric propulsion
• energy storage
• power distribution control
• ships