Forward simulation and strategy application of hybrid power system based on multi-loop feedback[J]. Chinese Journal of Ship Research. DOI: 10.19693/j.issn.1673-3185.04169
Citation: Forward simulation and strategy application of hybrid power system based on multi-loop feedback[J]. Chinese Journal of Ship Research. DOI: 10.19693/j.issn.1673-3185.04169

Forward simulation and strategy application of hybrid power system based on multi-loop feedback

  • Objectives With the escalating complexity of the Marine hybrid power system, more rigorous requirements are imposed for systematic modeling. Methods This study focuses on a 7,500-ton bulk carrier operating on the Yangtze River, analyzing the topology and operating modes of its power system. A forward mechanism modeling approach based on multi-loop feedback is proposed, and a hybrid diesel-gas-electric power system model is developed using Simulink. A rule-based energy management strategy and power controller are designed to optimize system performance. Finally, the model's applicability is analyzed using measured data, considering fuel consumption, speed control response, charge-discharge characteristics, power generation features, and the matching between the ship, engine, and propeller. Comparative analyses with existing power flow and AMESIM models highlight the potential value of this model for energy management strategy applications. Results The results demonstrate that the model exhibits excellent speed and power response characteristics. The ship-engine-propeller matching characteristics across four operating modes align closely with those of the target vessel, achieving dynamic simulations within a margin of error of less than 4%. The model effectively captures the impacts of intermediate losses, control responses, mode transitions, and converter disturbances on the energy management process. Furthermore, it was validated through dSPACE real-time simulation tests with a 0.001 s step size, showcasing strong real-time performance. Conclusions It provides real-time model support for long-duration and full-operating-condition testing of multi-energy hybrid system energy management.
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