电力推进船舶复合储能装置容量多目标优化  

Multi-Objective Optimization of Capacity of Hybrid Energy Storage Device for Ship Electric Propulsion System

作　　者：杨祥国[1] 孙盼 杨诚 陈辉[1] 孙俊[1] 杜枢 赵霏霏 杨凌[3] 魏斯琦 YANG Xiangguo;SUN Pan;YANG Cheng;CHEN Hui;SUN Jun;DU Shu;ZHAO Feifei;YANG Ling;WEI Siqi(School of Energy and Power Engineering,Wuhan University of Technology,Wuhan 430063,China;Nuclear Power Institute of China,Chengdu 610041,China;Sichuan Academy of Forestry,Chengdu 610066,China;The 29th Research Institute of CETC,Chengdu 610036,China)

机构地区：[1]武汉理工大学能源与动力工程学院,武汉430063 [2]中国核动力研究设计院设计所,成都610041 [3]四川省林业科学研究院,成都610066 [4]中国电子科技集团第二十九研究所,成都610036

出　　处：《中国航海》2018年第2期9-14,62,共7页Navigation of China

基　　金：国家自然科学基金(51579200;51507121);湖北省自然科学基金(2017CFB726);武汉理工大学研究生优秀学位论文培育资助项目(2017-YS-036)

摘　　要：当船舶电力推进系统采用超级电容和蓄电池组成的复合储能装置来解决负载扰动带来的经济性及安全性问题时,复合储能装置的容量与船舶的稳定性和经济性息息相关。以某耙吸式电力推进挖泥船为对象,采用自适应惯性权重粒子算法与适应度值离差排序法相结合的方法对复合储能装置的容量进行多目标优化配置,并利用MATLAB进行复合储能装置容量的优化计算。When the marine electric propulsion system adopts the hydrid energy storage device composed of supercapacitors and batteries to solve the economic and safety problems caused by load disturbances,the capacity of the hydrid energy storage device is closely related to the stability and economy of the ship. A trailing suction electric propulsion dredger is taken as the object,the combination of the adaptive inertia weight particle algorithm and the fitness value deviation sorting method is used to optimize the multi-objective allocation of the capacity of the hydrid energy storage device. The optimization calculation of the capacity of the hydrid energy storage device is carried out by MATLAB.

关 键 词：船舶电力推进系统 超级电容 蓄电池 容量多目标配置 

分 类 号：U664.14[交通运输工程—船舶及航道工程]