Control development and performance evaluation for battery/flywheel hybrid energy storage solutions to mitigate load fluctuations in all-electric ship propulsion systems

被引:97
|
作者
Hou, Jun [1 ]
Sun, Jing [1 ,2 ]
Hofmann, Heath [1 ]
机构
[1] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Naval Architecture & Marine Engn, Ann Arbor, MI 48109 USA
关键词
Electric ship propulsion; Hybrid energy storage; Multi-objective optimization; Model predictive control; Energy management; Dynamic programming; MODEL-PREDICTIVE CONTROL; POWER MANAGEMENT; FLYWHEEL ENERGY; OPTIMIZATION; EFFICIENCY; BATTERIES; TECHNOLOGIES; DURABILITY; VEHICLES; DESIGN;
D O I
10.1016/j.apenergy.2017.12.098
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
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.
引用
收藏
页码:919 / 930
页数:12
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