Low-Complexity Virtual-Vector-Based FCS-MPC With Unaffected Neutral-Point Voltage for Three-Phase T-Type Inverters
Low-Complexity Virtual-Vector-Based FCS-MPC With Unaffected Neutral-Point Voltage for Three-Phase T-Type Inverters
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DOI：
10.1109/jestpe.2023.3348289
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发表时间：
2024-04
影响因子：
5.5
通讯作者：
Renji Mo;Yong Yang;Rong Chen;Weimin Wu;Jiefeng Hu;H. Wen;Yiwang Wang;Gang Fang;José Rodríguez
中科院分区：
文献类型：
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作者：
Renji Mo;Yong Yang;Rong Chen;Weimin Wu;Jiefeng Hu;H. Wen;Yiwang Wang;Gang Fang;José Rodríguez
针对三相T型电压型逆变器，提出了一种新的有限控制集模型预测控制(FCS-MPC)算法。该算法采用矢量合成技术生成51个虚拟矢量(VVS)，比传统算法多89%，具有良好的逆变器输出电压跟踪能力和较低的谐波含量。这种VVS不影响中性点(NP)电压。因此，在代价函数中可以消除NP个电压平衡项。此外，为了获得较低的计算负担，采用了三阶段优化。实验结果验证了该算法的有效性，并证明了其相对于传统方法的优越性。
This article presents a new finite control set model predictive control (FCS-MPC) algorithm for three-phase (3P) T-type voltage source inverters. The proposed algorithm incorporates a vector combination technique to generate a total of 51 virtual vectors (VVs), which is 89% more than the traditional algorithm, leading to excellent inverter output voltage tracking capability with reduced harmonics. Such VVs do not affect the neutral point (NP) voltage. Therefore, the NP voltage balance term can be eliminated in the cost function. In addition, to achieve a low computational burden, a three-stage optimization is employed. Experimental results validate the effectiveness of the proposed algorithm and demonstrate its superiority over conventional approaches.