Collaborative Optimization Method of Capacity Configuration and Operation Strategy of Hybrid Energy Storage System for All-electric Ships
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.
all-electric shipadaptive second-order filteringhybrid energy storage systemcollaborative optimizationenergy management strategy