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Optimal Switching Sequence Model Predictive Control for Modular Multilevel Converter
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AI
DOI：10.1109/TIE.2022.3194599.png)
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Abstract
En 中文
This article proposes a new optimal switching sequence model predictive control method for modular multilevel converter (MMC). In this method, the common mode voltage is considered, which makes the model more accurate. The proposed method realizes the optimization of multiple control objectives of output current tracking, circulating current suppression, and SM voltage balancing. The sequence that allows the output current to track its reference value is calculated in the alpha - beta coordinate system and the virtual vectors aim to suppress the circulating cur-rent without influencing the output current are inserted. Capacitor voltage balancing is achieved by redundant vectors selection and traditional selection algorithm. These control objectives are calculated independently, thus weighting factor is not required. At the same time, the computation burden is reduced by restricting the voltage mutation. This method has a satisfactory dynamic response and steady-state performance, the simulation and experimental results are given to verify the effectiveness of the method.
Keywords:
Model predictive control (MPC)
MMC
optimal switching sequence
Journal
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7.2
Papers:
1.8W
Citations:
9.8W
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