中国舰船研究2024，Vol.19Issue(z1)：74-83,10.DOI:10.19693/j.issn.1673-3185.03104
基于模型预测控制的双机组混合动力船舶能量管理研究
Study on energy management of dual-diesel generator sets hybrid power ships based on model predictive control
摘要
Abstract
[Objectives]The marine diesel-electric hybrid system reasonably distributes the output power of the diesel engine and motor,which can significantly reduce fuel consumption and emissions.Aiming at the contradiction between the optimal performance and real-time operation of traditional energy management strategies applied to hybrid power systems,this study proposes to implement model predictive control(MPC)to achieve the instantaneous optimization of energy management.[Methods]First,an energy flow model of a passenger-ferry hybrid system consisting of dual diesel generator sets,energy storage systems and shore power is established by employing the reverse modeling method.An MPC energy management algorithm that can be solved online by rolling optimization under system constraints is then proposed,taking the total green-house gas(GHG)emissions of fuel consumption and electric energy consumption as the objective function.Fi-nally,the sensitivity analysis of the variable prediction horizon lengths is carried out.[Results]The simula-tion results show that the MPC method can reduce fuel consumption by 4.85%and total carbon dioxide emis-sions by 3.54%respectively compared with the traditional rule-based control method.[Conclusions]The MPC method achieves lower fuel consumption,lower carbon emissions and lower computing load than the tra-ditional rule-based control method,giving it promising potential for real ship application.关键词
双机组混合动力/模型预测控制/温室气体排放Key words
dual-diesel generator sets hybrid system/model predictive control(MPC)/(greenhouse gas)GHG emission分类
交通工程引用本文复制引用
周寅正,陈俐..基于模型预测控制的双机组混合动力船舶能量管理研究[J].中国舰船研究,2024,19(z1):74-83,10.基金项目
国家重点研发计划资助项目(2022YFB4300803) （2022YFB4300803）
