摘要
为了解决船舶混合动力系统多目标优化难题,采用精确的阻力预测模型及螺旋桨模型预测9000 DWT化学品运输船功率需求。基于推进系统的需求功率,提出基于目标聚类的方法建立多目标优化数学模型,并对系统关键设计参数进行多目标优化研究,对比分析4种典型多目标优化算法对该优化问题的适应性。结果表明:基于快速非支配排序的多目标算法对于含有整数变量、等式约束等混合动力系统多目标优化问题具有良好的鲁棒性和收敛性。采用多目标综合决策求解出的最优设计参数相较于原型船动力系统,最大能效提升约6.1%。
In order to solve the question,the accurate resistance and propeller model is established to predict the power demand of 9000 DWT chemical carrier.Based on the power requirement,a multi-objective optimization mathematical model with clustering algorithm is proposed,and the key parameters of the system design are studied.What′s more,the adaptability of four typical multi-objective optimization algorithms for the optimization problem of marine hybrid propulsion system is analyzed.The results show that the multi-objective algorithm based on fast non-dominated sorting has good robustness and convergence for the questions of hybrid propulsion system with integer variables and equality constraints,etc.Compared with that of the prototype ship power system,the maximum improvement of energy efficiency with the optimal design parameters is about 6.1%.
作者
徐超
范立云
陈晨
李宏铖
沈崇崇
XU Chao;FAN Liyun;CHEN Chen;LI Hongcheng;SHEN Chongchong(College of Power and Energy Engineering,Harbin Engineering University,Harbin 150001,China)
出处
《船舶工程》
CSCD
北大核心
2023年第9期79-87,共9页
Ship Engineering
基金
工信部高技术船舶科研项目(CB03N20)
关键词
船舶混合动力系统
匹配设计
多目标优化
能效研究
marine hybrid propulsion system
matching and design
multi-objective optimization problem
system energy efficiency
