首页|基于改进遗传算法的船舶大容量储能容量配置优化

基于改进遗传算法的船舶大容量储能容量配置优化

扫码查看
大容量储能配置不当会增加维护成本,缩短电池寿命.因此,设计一种遗传算法,添加模糊数学规划方法,增加算法多目标优化能力,结合燃油经济性、储能装置冷却需求功率、成本等不同指标,得到不同工况下柴油发电机、蓄电池的出力情况以及储能配置容量.以某电力渡轮为例,仿真结果表明:配置优化后的混合动力系统满足船舶航行可靠性要求,柴油发电机能够工作在效率较高的区域,减少了7.5%的燃油消耗.研究成果可为推动电力渡轮绿色化提供参考.
Optimization of Ship Bulk Energy Storage Capacity Allocation Based on Improved Genetic Algorithm
Improper configuration of large capacity storage can increase maintenance costs and shorten battery life.Therefore,a genetic algorithm is designed and fuzzy mathematical programming method is added to increase the multi-objective optimization ability of the algorithm.Combined with fuel economy,energy storage device cooling demand power,cost and other indicators,the output situation of diesel generator and battery and energy storage configuration capacity under different working conditions are ob-tained.Taking an electric ferry as an example,the simulation results show that the optimized configuration of the hybrid power sys-tem meets the requirements of ship navigation reliability,the diesel generator can work in high efficiency area,and the fuel con-sumption is reduced by 7.5%.The research results can provide reference for promoting the greening of electric ferry.

GAbatterycapacity allocationmulti-objective optimization

魏莱、朱志宇、张哲卿

展开 >

江苏科技大学电子信息学院 镇江 212003

遗传算法 储能 容量配置 多目标优化

江苏省研究生科研与实践创新计划

KYCX21_3469

2024

计算机与数字工程
中国船舶重工集团公司第七0九研究所

计算机与数字工程

CSTPCD
影响因子:0.355
ISSN:1672-9722
年,卷(期):2024.52(4)
  • 10