起重船新能源微网及能量管理方法研究  

Research on renewable energy microgrid and energy management method of crane ship

作　　者：李涛 杨佳 谭智坤 孙金柱 李志远 张立强 LI Tao;YANG Jia;TAN Zhikun;SUN Jinzhu;LI Zhiyuan;ZHANG Liqiang(CCCC Second Harbor Engineering Co.,Ltd.,Wuhan 430040,China;Key Laboratory of Large-span Bridge Construction Technology,Wuhan 430040,China;Research and Development Center of Transport Industry of Intelligent Manufacturing Technologies of Transport Infrastructure,Wuhan 430040,China;College of Engineering,Ocean University of China,Qingdao 266404,China;Institute of Electrical Engineering,Chinese Academy of Sciences,Beijing 100190,China)

机构地区：[1]中交第二航务工程局有限公司,湖北武汉430040 [2]长大桥梁建设施工技术交通行业重点试验室,湖北武汉430040 [3]交通运输行业交通基础设施智能建造技术研发中心,湖北武汉430040 [4]中国海洋大学工程学院,山东青岛266404 [5]中国科学院电工研究所,北京100190

出　　处：《舰船科学技术》2025年第6期116-122,共7页Ship Science and Technology

基　　金：交通运输行业重点科技项目(2022-ZD4-062)。

摘　　要：为实现某起重船在停泊工况下辅助柴油发电机的节能减排,在400 V交流母线增设光伏发电和储能系统,并使用能量管理方法对船舶电网能源调度进行优化。基于光伏发电量及负载数据,提出一种利用遗传算法对储能系统充放电功率进行多目标优化的能量管理策略。在考虑电网性能约束的情况下,利用储能系统“削峰填谷”平抑微电网中负荷波动,保证辅助发电机工作在高效燃油区间,同时获得满足夜间负载需求的能量。经仿真可知,该方法年可节省燃油43.048 t,减少CO_(2)排放134.476 t,在2年内即可达到生产碳平衡。所提方法能够减少工程船舶燃油消耗、增加船舶作业经济性,具有实用价值。To achieve energy conservation and emission reduction of auxiliary diesel generator of a crane ship under berthing conditions,photovoltaic power generation system and energy storage system were added to the 400 V AC bus,and an energy management method was proposed to optimize the energy scheduling of the ship's power grid.Based on PV generation and load data,a multi-objective optimization of energy storage system charging and discharging power is proposed using a genetic algorithm.Considering grid performance constraints,the energy management strategy utilizes the energy storage system for peak shaving and load leveling,ensuring the auxiliary diesel generator operates in its high-efficiency fuel consumption range while meeting nighttime load demand.Simulation results show that this approach can save 43.048 t of fuel annually and reduce CO_(2)emissions by 134.476 t,achieving carbon neutrality within two years.The proposed method reduces fuel consumption,and enhances the economic viability of engineering vessels,demonstrating practical value.

关 键 词：船舶微网 储能系统 遗传算法 能量管理 节能减排 

分 类 号：U665.12[交通运输工程—船舶及航道工程]