适用于弱电网的三电平并网逆变器模型预测控制OACSTPCD

In weak power grids,grid-connected inverters often suffer from poor robustness and significant harmon-ics.Moreover,model predictive control(MPC)heavily relies on system parameters,limiting its applicability in weak grids.To address these issues,a data-driven model-free predictive control(MFPC)strategy base on virtual voltage vectors for neutral-point clamped(NPC)three-level grid-connected inverters is proposed.Firstly,the MFPC based on virtual voltage vectors constructs numerous virtual voltage vectors through different switching sequences.Then,a cost function is utilized to pre-select and reduce the computational burden of the control algorithm.Finally,appropriate switching sequences are chosen for optimization to suppress neutral-point voltage fluctuations.Simula-tion results demonstrate that the proposed strategy effectively mitigates neutral-point voltage fluctuations and grid current harmonics,while exhibiting robustness to parameter variations.