Energy management of compound power supply based on grey wolf algorithm

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 a hybrid energy storage system (HESS) consisting of a battery and supercapacitor.

Methods

First, wavelet decomposition and fuzzy logic control are used to distribute the load power of the ship and optimize the charging and discharging process of the battery. Next, grey wolf optimizer （GWO） is used to optimize the parameters of the HESS and ensure that the energy management strategy matches the equipment parameters. Finally, the ship power system model is built using the Matlab/Simulink platform, and the simulation experiment is verified.

Results

The simulation results show that the proposed energy management strategy can effectively suppress the output power fluctuation of the fuel cell and realize rational power distribution among devices, reducing the optimized bus voltage fluctuation by 23.19%.

Conclusion

This study can provide useful references for the optimization design of the power quality of ships.

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Keywords

energy management energy storage fuel cell-powered vessels fuzzy control grey wolf optimizer hybrid energy storage system multiobjective optimzation wavelet decomposition

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Hui YI, Hui CHEN. Energy management of compound power supply based on grey wolf algorithm[J]. Chinese Journal of Ship Research, 2025, 20(3): 249

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