Optimal Switching Sequence Model Predictive Control for Three-Level NPC Grid-Connected Inverters

Jianguo Lyu, Han Yan, Jinyong Ding, Qiuwei Wu, Xun Lyu, Zhuang Sun

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In order to concentrate the frequency spectrum of the output voltage and improve the quality of grid currents for the 3−level neutral point clamped inverter with the model predictive control (MPC), this paper proposes an optimal switching sequence MPC algorithm. Based on the increments of grid currents and the neutral‐point voltage, the predictive model of the inverter is established in αβ frame. Moreover, including grid currents and the neutral point voltage tracking, the cost function is designed and simplified by arranging the voltage vector sequence (VVS) in a sampling cycle appropriately. Meanwhile, the calculation of the optimal dwell time for each VVS is derived by Lagrange multiplier method, and its solving process is simplified to reduce online computations. Furthermore, according to different voltage vector sectors, a VVS preselection principle is introduced in this paper, besides, considering redundant small vectors in a pair have opposite affections on the neutral point voltage, the amount of VVS that needs to be verified is further cut down, for obtaining the optimal VVS. Finally, the experimental results show that the proposed method can concentrate the output frequency spectrums, which maintains a good quality of grid currents with a small neutral‐point voltage fluctuation.
Original languageEnglish
JournalI E T Power Electronics
Number of pages12
Publication statusAccepted/In press - 2021

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