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Sequential Direct Model Predictive Control for Gird-Tied Three-Level NPC Power Converters

机译:针对三级NPC功率转换器的顺序直接模型预测控制

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A sequential direct model predictive control (SDMPC) for the grid-tied three-level neutral-point clamped (3L-NPC) converters is proposed in this work. For the underlying 3L-NPC grid-tied power converter, control objectives are active/reactive current tracking and neutral-point voltage balance. The proposed solution utilized two cascaded cost functions, dealing with the above control objectives in a sequential manner without using weighting factors, such that the tedious parameter tuning process is eliminated. It is different from the classical direct model predictive control (CDMPC), which combines both control objectives into a single cost function with a tunable penalty coefficient, i.e., the weighting factor. A thorough comparison investigation between CDMPC and the proposed method was carried out. The simulation results showed that both methods achieve comparably good performance. While SDMPC considerably reduces the tuning efforts, and simplifies the engineering design process.
机译:在这项工作中提出了一种用于网格连接的三级中性点钳位(3L-NPC)转换器的顺序直接模型预测控制(SDMPC)。对于底层的3L-NPC网格连接功率转换器,控制目标是主动/无功电流跟踪和中性点电压平衡。所提出的解决方案利用了两个级联的成本函数,以顺序方式处理上述控制目标而不使用加权因子,使得乏味的参数调谐过程被消除。它与经典直接模型预测控制(CDMPC)不同,其将两个控制目标与可调谐惩罚系数,即加权因子相结合成单个成本函数。进行了CDMPC与所提出的方法之间的彻底比较调查。仿真结果表明,两种方法都达到了相对良好的性能。虽然SDMPC大大降低了调整工作,并简化了工程设计过程。

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