When a two-level grid-connected inverter uses a traditional two-vector model for predictive current control, the desired voltage vector range of its output within a single control cycle is limited, which in turn affects the current tracking accuracy and leads to an increase in the harmonic components in the grid-connected current. To address this problem, an optimal hybrid vector model predictive current control strategy for grid-connected inverters is adopted, in which the optimal three-vector combination is selected by two value functions in a single control cycle, and then the optimal hybrid vector combination is selected by comparing it with the conventional two-vector, and the time of action of each optimal vector is computed by applying the principle of non-differential beat. Finally, the effectiveness of the method is verified by building a simulation.

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Optimized Hybrid Vector Model Predictive Current Control for Grid-Connected Inverter

  • Peng Liu,
  • Cungang Hu,
  • Tao Rui,
  • Haoran Li,
  • Chenghao Ji

摘要

When a two-level grid-connected inverter uses a traditional two-vector model for predictive current control, the desired voltage vector range of its output within a single control cycle is limited, which in turn affects the current tracking accuracy and leads to an increase in the harmonic components in the grid-connected current. To address this problem, an optimal hybrid vector model predictive current control strategy for grid-connected inverters is adopted, in which the optimal three-vector combination is selected by two value functions in a single control cycle, and then the optimal hybrid vector combination is selected by comparing it with the conventional two-vector, and the time of action of each optimal vector is computed by applying the principle of non-differential beat. Finally, the effectiveness of the method is verified by building a simulation.