混合动力船舶通过合理配置各动力源容量可有效提高储能系统的利用效率。但是，如果配置过大或过小，可能会导致工作效率低下或配置成本过高等问题。为解决这些问题，采用复合储能系统能量消耗和全生命周期成本为优化目标的复合储能容量配置优化方法，采用改进灰狼优化算法进行模型求解得到Pareto前沿，进行多属性决策分析和仿真实验。结果表明，优化后的配置方案在能量消耗和全生命周期成本2个指标中取得了更好的效果。
Hybrid propulsion ships can significantly enhance the utilization efficiency of energy storage systems through the proper allocation of capacities for each power source. However, if the capacities are allocated too much or too little, it can result in operational inefficiency or unnecessarily high configuration costs. To address these issues, an optimization method for composite energy storage capacity configuration is proposed, targeting the minimization of both energy consumption and the lifecycle cost of the energy storage system. The improved Grey Wolf Optimization algorithm is applied to solve the model and determine the Pareto frontier. Subsequently, a multi-attribute decision analysis and a series of simulation experiments are performed. The results of these simulations demonstrate that the optimized configurations provide superior optimization in terms of both energy consumption and lifecycle costs.
2025,47(7): 116-124 收稿日期：2024-5-14
DOI：10.3404/j.issn.1672-7649.2025.07.022
分类号：U664.14
基金项目：国家重点研发计划项目（2019YFE0104600）；国家自然科学基金资助项目（51909200）
作者简介：曾律淳(2000-),男,硕士研究生,研究方向为混合动力船舶等
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