基于灰狼算法的复合电源能量管理

Energy management of compound power supply based on grey wolf algorithm

  • 摘要:
    目的 为了提高复杂工况下的船舶电能质量,针对由电池—超级电容作为复合储能系统的燃料电池船,提出一种基于小波分解的能量管理策略。
    方法 首先,采用小波分解和模糊逻辑控制对船舶负载功率进行分配,同时优化电池的充放电过程;然后,采用灰狼算法对复合储能系统的参数进行优化,从而使能量管理策略与设备参数相匹配;最后,基于Matlab/Simulink平台中搭建船舶动力系统模型,进行仿真实验验证。
    结果 仿真结果表明:该能量管理策略可以有效抑制燃料电池的输出功率波动,实现了各设备之间功率的合理分配,其中优化后的母线电压波动降低了23.19%。
    结论 研究成果可对船舶电能质量的优化设计提供参考。

     

    Abstract:
    Objectives In order to improve the power quality of ships under complex working conditions, an energy management strategy based on wavelet decomposition is proposed for fuel cell ships with battery and supercapacitor as a composite energy storage system.
    Methods Firstly, wavelet decomposition and fuzzy logic control were used to distribute the load power of the ship and optimize the charging and discharging process of the battery. Then, grey wolf algorithm is used to optimize the parameters of the complex energy storage system, so that the energy management strategy matches the equipment parameters. Finally, the ship power system model is built based on Matlab/Simulink platform, and the simulation experiment is verified.
    Results The simulation results show that the energy management strategy can effectively suppress the output power fluctuation of the fuel cell, and realize the rational power distribution among the devices, in which the optimized bus voltage fluctuation is reduced by 23.19%.
    Conclusions The research results can provide reference for the optimization design of Marine power quality.

     

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