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首页> 外文期刊>Applied Energy >Control development and performance evaluation for battery/flywheel hybrid energy storage solutions to mitigate load fluctuations in all-electric ship propulsion systems
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Control development and performance evaluation for battery/flywheel hybrid energy storage solutions to mitigate load fluctuations in all-electric ship propulsion systems

机译：电池/飞轮混合储能解决方案的控制开发和性能评估，以减轻全电动船舶推进系统中的负载波动

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摘要

Current trends in both commercial and military ship development have focused on ship electrification. A challenge for electric-ship propulsion systems, however, is large propulsion-load fluctuations. To address this issue, this paper explores a new solution, namely a combined battery and flywheel (B/FW) hybrid energy storage system (HESS) as a buffer to isolate load fluctuations from the shipboard network. Our two main objectives, power-fluctuation compensation and energy saving under various operating constraints, are formulated as a multi-objective optimization problem. Pareto fronts, which illustrate the trade-offs between the main objectives, are obtained by using dynamic programming with the weighted sum method. To quantitatively analyze the performance of B/FW HESS, a comparative study is performed under different sea conditions, where a battery/ultra-capacitor (B/UC) HESS configuration is used as a reference in performance evaluation. Simulation results show the feasibility and effectiveness of B/FW to mitigate the load fluctuations for all-electric ships, especially at high sea states. Furthermore, a model predictive control (MPC) algorithm is developed to facilitate real-time implementation of the proposed solution. A performance comparison between the proposed MPC energy management strategy and the global dynamic programming is performed, and this comparison demonstrates the effectiveness of the proposed MPC strategy.
机译：商业和军事船舶发展的当前趋势都集中在船舶电气化上。但是，电船推进系统面临的挑战是巨大的推进载荷波动。为了解决这个问题，本文探索了一种新的解决方案，即电池和飞轮组合（B / FW）混合储能系统（HESS）作为缓冲区，以将负荷波动与船上网络隔离开。我们的两个主要目标，即功率波动补偿和在各种运行约束下的节能，被表述为一个多目标优化问题。帕累托前沿（Pareto fronts）是通过权重和方法进行动态规划而获得的，它说明了主要目标之间的取舍。为了定量分析B / FW HESS的性能，在不同的海况下进行了比较研究，其中电池/超电容器（B / UC）HESS配置用作性能评估的参考。仿真结果表明，B / FW减轻全电动船舶的负荷波动的可行性和有效性，特别是在公海状态下。此外，开发了模型预测控制（MPC）算法以促进所提出解决方案的实时实施。对建议的MPC能源管理策略和全局动态规划进行了性能比较，该比较证明了建议的MPC策略的有效性。

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