Chinese Journal of Ship Research, Volume. 20, Issue 4, 233(2025)
Collaborative optimization for planning and operation strategy of shipboard hybrid energy storage systems based on MPC-HHO
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Table 1. Model related parameters
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参数 数值 发电机组总功率/MW 13.2 采样周期/s 2 MPC预测步数 5 HESS的最大充放电功率/MW 4 HESS的额定容量/(MW·h−1) 2 HESS的SOC上限值 0.8 HESS的SOC下限值 0.2 负载功率波动率限值/% 0.1
Table 2. Parameters for energy storage component
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参数 磷酸铁锂电池 SC 充放电效率/% 95 80 SOC范围 0.10～0.90 0.05～0.95 单位功率成本/(元·kW−1) 2700 1500 单位容量成本/(kW·h−1) 1500 27000 寿命参数 $ a=694 $ $ b=1.98 $ $ c=0.016 $ − 初始SOC 0.5 0.5
Table 3. Evaluation indicators for various power allocation methods
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方法 最低蓄电池寿命 折损成本/元 最低HESS 投资成本/万元 重构Pareto 前沿 元素数量 方法1 74.86 821.25 0 方法2 68.13 821.20 0 本文方法3 36.30 742.02 50
Table 4. Evaluation indicators for different optimization algorithms
View tableView in ArticleTable 4. Evaluation indicators for different optimization algorithms
算法 最低蓄电池寿命 折损成本/元 最低HESS投资 成本/万元 优化 时间/s 重构Pareto前沿 元素数量 NSGA-II 92.04 787.52 835.6 1 MOPSO 36.81 755.79 442.4 3 MOHHO 36.30 742.02 391.9 48
Table 5. Capacity configuration schemes and evaluation indicators for different optimization strategies
View tableView in ArticleTable 5. Capacity configuration schemes and evaluation indicators for different optimization strategies
优化方法 解集 容量配置方案 额定容量/（MW·h） 评价指标 蓄电池 SC HESS投资 成本/万元 蓄电池寿命 折损成本/元 协同优化 解1 0.4545 0.0066 742.0 489.7 解2 0.8752 0.0085 776.1 140.8 解3 0.8080 0.1085 976.5 36.3 单层优化1 解1 0.3993 0.0769 1016.6 590.1 解2 0.5327 0.0769 1025.2 338.3 解3 0.7942 0.0769 1041.9 157.8 单层优化2 解1 0.4109 0.0396 903.1 634.9 解2 0.5903 0.0396 914.6 315.5 解3 0.8218 0.0396 929.4 167.7
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Shuiqing KE, Xiangguo YANG, Xin LI, Yufan WANG, Quanzheng DUAN, Telu TANG. Collaborative optimization for planning and operation strategy of shipboard hybrid energy storage systems based on MPC-HHO[J]. Chinese Journal of Ship Research, 2025, 20(4): 233
Paper Information
Category: Marine Machinery, Electrical Equipment and Automation
Received: Jul. 24, 2024
Accepted: --
Published Online: Sep. 11, 2025
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