基于BES-FMD的MMC-MG混合储能容量优化配置OA

For the modular multilevel converter half-bridge series microgrid(MMC-MG)operating in island mode,a capacity optimization configuration method for hybrid energy storage systems(HESS)is proposed,leveraging its structural characteristics based on an improved feature mode decomposition(FMD)algorithm.Initially,the reference power of the hybrid energy storage system is used to optimize FMD parameters via the bald eagle search(BES)algorithm,decomposing the power to be smoothed into high-frequency and low-frequency components.These components are then mitigated by supercapacitors and lithium batteries,respectively.Finally,considering battery charge-discharge constraints and minimizing the total lifecycle cost as the objective,the capacity is optimized to achieve cost minimization.Simulation results demonstrate that the proposed scheme effectively reduces the cost of capacity configuration while achieving coordinated power management in hybrid energy storage systems.