MMC逆向模型预测控制策略研究OA北大核心

In the model predictive control ( MPC ) of modular multilevel converters ( MMCs ),it is difficult to accurately design the weight factor,and the amount of computational load is usually large.To solve these problems,an MMC reverse MPC strategy is proposed.The AC-side phase voltage and the total voltage of upper and lower bridge arms of each phase are predicted by reverse prediction,the number of input sub-modules of upper and lower bridge arms is calculated by using rounding functions and objective function optimization,and the AC-side current and bridge arm circulation are controlled independently.The proposed method does not need to design the weight factor.It only needs two cycles of optimization in each sampling period while achieving the maximum output level of 2N+1 on the AC-side and effectively controlling the bridge arm circulation.In addition,the sub-module capacitive voltage is balanced by a sub-module capacitive voltage grouping sorting algorithm.Finally,the correctness and effectiveness of the proposed method is verified by simulations performed on a Matlab/Simulink platform.