全电船舶混合储能系统容量配置与运行策略协同优化方法
Collaborative Optimization Method of Capacity Configuration and Operation Strategy of Hybrid Energy Storage System for All-electric Ships
王与凡 1杨祥国 1李昕 1周朝彬 1段权政 1唐特路1
作者信息
- 1. 武汉理工大学船海与能源动力工程学院,武汉 430063
- 折叠
摘要
针对多工况条件下全电船舶混合储能系统容量配置与运行策略的设计,提出一种以自适应二阶滤波策略为核心的能量管理策略,考虑混合储能系统容量配置与运行策略耦合关系的协同优化方法.建立了以发电机组功率波动平抑、储能系统容量投资成本以及锂电池寿命折损为目标的协同优化模型,采用动态邻域学习粒子群算法求解最优容量配置及运行策略.仿真结果表明,相比于双层优化方法,提出的方法在保证优化性能的基础上大大减少了计算耗时;相比于规则控制策略,滤波控制策略能更有效地平抑发电机组的功率与转速波动,缩短受到扰动时的调节时间.论文研究对船用混合储能系统容量配置和能量管理策略的设计具有参考价值.
Abstract
To solve the design problem of capacity configuration and operation strategy of hybrid energy storage system for all-electric ships under multi-operating conditions,a collaborative optimization method is proposed,in which an adaptive second-order filtering strategy coupled with the capacity configuration of the energy storage system is taken as the core energy management strategy.A collaborative optimization model is established for the objectives of power fluctuation of the generator set,the capacity investment cost of the energy storage system,and the lifetime degradation of the lithium batteries.The model is solved by using the dynamic neighborhood learning particle swarm algorithm,which can significantly reduce computational time compared with the two-layer optimization method.The results show that the filtering control strategy is more effective in mitigating power and speed fluctuations and reducing adjustment time during disturbances compared to the rule-based control strategy,which is of reference value for the design of capacity configuration and energy management strategy in marine hybrid energy storage systems.
关键词
全电船舶/自适应二阶滤波/混合储能系统/协同优化/能量管理策略Key words
all-electric ship/adaptive second-order filtering/hybrid energy storage system/collaborative optimization/energy management strategy引用本文复制引用
基金项目
国家重点研发计划资助项目(2023YFB4301704)
国家自然科学基金项目(52271329)
电磁能技术全国重点实验室开放基金项目(61422172220403)
出版年
2024
NETL
NSTL
万方数据