Energy management of compound power supply based on grey wolf algorithm

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.