基于MOSSA算法的船载储能系统容量配置多目标优化方法  

Multi-objective optimization method of shipboard energy storage system capacity allocation based on MOSSA algorithm

作　　者：张金磊 孙俊[1] 杨祥国[1] 刘成龙 王天琪 ZHANG jin-lei;SUN Jun;YANG Xiang-guo;LIU Cheng-long;WANG Tian-qi(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan 430063,China)

机构地区：[1]武汉理工大学船海与能源动力工程学院,湖北武汉430063

出　　处：《舰船科学技术》2023年第14期63-68,共6页Ship Science and Technology

基　　金：国家重点研发计划项目(2019YFE0104600);国家自然科学基金面上项目(52271329)。

摘　　要：当电推船采用储能装置来解决负载扰动带来的船舶微电网稳定性及安全性问题时,储能装置的容量直接影响到船舶电力系统的经济、稳定、可靠性等综合性能指标。以锂电池为储能装置,并对锂电池容量进行多目标协同优化配置。建立以储能系统经济性、微电网稳定性以及锂电池寿命损耗为目标函数的数学模型,采用多目标麻雀搜索算法(MOSSA)对模型进行求解,得到相应的Pareto解集。通过多目标模糊决策方法,设定不同决策场景,计算综合满意度,获得最终的容量配置方案。When the energy storage device is used to solve the stability and safety problems of the ship micro-grid caused by load disturbance,the capacity of the energy storage device directly affects the comprehensive performance index like economy,stability,reliability,etc.of the ship power system.Taking lithium battery as energy storage device,the capacity of lithium battery was optimized with multi-objective coordination.A mathematical model was established with the economy of energy storage system,stability of microgrid and life loss of lithium battery as the objective function.The multi-objective Sparrow search algorithm(MOSSA)was used to solve the model and the corresponding Pareto solution set was obtained.By using multi-objective fuzzy decision making method,different decision scenarios are set,comprehensive satisfaction degree is calculated,and the final capacity allocation scheme is obtained.

关 键 词：船舶电力推进 储能系统 容量配置 MOSSA 

分 类 号：U664.14[交通运输工程—船舶及航道工程]