基于IGOA算法的船舶能量管理策略研究  

Research on ship energy management strategy based on IGOA algorithm

作　　者：焦军 韩飞 李奇 闫羲 Jiao Jun;Han Fei;Li Qi;Yan Xi(China Merchants Jinling Ship(Nanjing)Co,Nanjing 210000,Jiangsu,China;College of Automation,Jiangsu University of Science,Zhenjiang 212100,Jiangsu,China)

机构地区：[1]招商局金陵船舶(南京)有限公司,江苏南京210000 [2]江苏科技大学自动化学院,江苏镇江212100

出　　处：《船电技术》2025年第3期65-70,共6页Marine Electric & Electronic Engineering

摘　　要：本文以混合动力船舶的储能电池系统为研究对象,对船舶储能系统的进行了全航程能量管理策略研究,提出了基于改进蚱蜢优化算法(IGOA)的充放电管理方法,构建了考虑储能电池组SOH状态的全局能量管理策略,通过设定目标函数和约束条件,优化了储能系统的功率分配。仿真实验结果表明,所提出的动态充放电方法提高了能量管理效率,避免了SOH较低电池组的过度充放电,有效延长了储能电池系统的使用寿命。Taking the energy storage battery system of hybrid ships as the research object,this paper studies the whole-range energy management strategy of the ship energy storage system.A charging/discharging management method based on the Improved Grasshopper Optimisation Algorithm(IGOA)is proposed,and a global energy management strategy considering the SOH state of the energy storage battery pack is constructed,which optimises the power allocation of the energy storage system through setting the objective function and constraint conditions.Simulation experimental results show that the proposed dynamic charging and discharging method improves the energy management efficiency,avoids excessive charging and discharging of the batteries with lower SOH,and effectively extends the service life of the energy storage battery system.

关 键 词：储能系统 改进蚱蜢优化算法 能量管理策略 

分 类 号：U665.12[交通运输工程—船舶及航道工程]