计算机与数字工程2024，Vol.52Issue(4)：1050-1054,5.DOI:10.3969/j.issn.1672-9722.2024.04.016
基于改进遗传算法的船舶大容量储能容量配置优化
Optimization of Ship Bulk Energy Storage Capacity Allocation Based on Improved Genetic Algorithm
摘要
Abstract
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.关键词
遗传算法/储能/容量配置/多目标优化Key words
GA/battery/capacity allocation/multi-objective optimization分类
交通工程引用本文复制引用
魏莱,朱志宇,张哲卿..基于改进遗传算法的船舶大容量储能容量配置优化[J].计算机与数字工程,2024,52(4):1050-1054,5.基金项目
江苏省研究生科研与实践创新计划(编号:KYCX21_3469)资助. （编号:KYCX21_3469）
