基于A-MPC的MMC-HESS平抑光伏功率波动优化策略OA北大核心CSTPCD

To better solve the problem of photovoltaic(PV)power fluctuation,a PV power fluctuation stabilization and power instruction allocation optimization strategy is proposed. First,combined with the modular multilevel converter-hy-brid energy storage system(MMC-HESS),adaptive model predictive control is put forward to stabilize the fluctuation of PV power in real time,and the objective function is adaptively adjusted according to the energy storage state. Then,a variational mode decomposition algorithm optimized by the rime algorithm is put forward to double decompose the to-tal output of energy storage and complete the initial allocation of MMC-HESS power. Finally,the power allocation in-struction is bi-level optimized by charging and discharging consistency optimization,power adjustment and fuzzy con-trol. The simulation results of an example show that the proposed strategy can effectively stabilize the PV power fluctua-tion,protect the energy storage and optimize the operation of HESS.