哈尔滨工程大学学报2025，Vol.46Issue(10)：2021-2031,11.DOI:10.11990/jheu.202402010
应对非预期情况的船舶混合能源系统能量管理
Energy management of shipboard hybrid energy system under unexpected operating conditions
摘要
Abstract
This study aims to address energy management challenges in shipboard hybrid energy systems under unex-pected operating conditions,such as equipment failures or sudden disturbances.For this purpose,this work proposes a resilience-enhanced control strategy based on a prioritized sampling deep deterministic policy gradient algorithm.First,based on the action-evaluation network framework,a Markov decision model is developed for the collaborative operation of the shipboard hybrid energy system.This model is characterized by continuous state and action spaces,which enable more precise and adaptive control strategies.Then,the algorithm is trained using historical voyage data to generate a high-efficiency energy management strategy.This strategy intends to achieve economically optimized scheduling during normal operation while guaranteeing resilient safety control under unexpected conditions.Simula-tion results for various ship navigation scenarios reveal that the proposed strategy fully leverages the operational char-acteristics of different equipment types.Under steady-state conditions,it achieves rational energy allocation guided by economic objectives.Under unexpected conditions,it prioritizes reliability to maximize system safety.关键词
新能源船舶/非预期工况/弹性增强控制/马尔可夫决策过程/优先级采样/深度确定性策略梯度算法/历史航行数据/能量管理Key words
new energy ships/unanticipated conditions/elastic enhanced control/Markov decision process/priori-ty sampling/deep deterministic policy gradient algorithm/historical navigation data/energy management分类
动力与电气工程引用本文复制引用
司玉鹏,王荣杰,王亦春,林安辉,刘亚杰..应对非预期情况的船舶混合能源系统能量管理[J].哈尔滨工程大学学报,2025,46(10):2021-2031,11.基金项目
国家自然科学基金项目(22309205,62473372) （22309205,62473372）
湖南省科技创新计划(2023RC1002) （2023RC1002）
湖南省研究生科研创新项目(CX20240004). （CX20240004）
