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Space Vector Modulated Model Predictive Control for Grid-Tied Converters
IEEE Transactions on Industrial Informatics ( IF 12.3 ) Pub Date : 2022-07-25 , DOI: 10.1109/tii.2022.3193674
Dimas A. Schuetz 1 , Caio R. D. Osorio 2 , Luiz A. Maccari 3 , Daniel M. Lima 3 , Fernanda Carnielutti 1 , Vinicius Montagner 1 , Humberto Pinheiro 1
Affiliation  

This article proposes a space vector modulated model predictive control (SVM $^{2}$ PC) for voltage source converters. It overcomes limitations of standard finite control set model predictive controller, ensuring fast dynamic response, fixed switching frequency, and low computational burden. It combines control and modulation in a convex optimization problem with affine inequality constraints to minimize the tracking errors of the output variables. First, the sector of the space vector diagram where the unconstrained solution lies is identified. Then, using the Karush–Kuhn–Tucker conditions, feasible duty cycles are computed for both linear and overmodulation regions. The proposed SVM $^{2}$ PC is extended to multilevel converters. Hardware in the loop results are presented for three different case studies: 1) Grid-forming inverter with LC filter; 2) two-level grid-following inverter with LCL filter; and 3) grid-following neutral point clamped inverter with LCL filter. Experimental results demonstrate that the proposed SVM $^{2}$ PC provides good performance, fast response, and low computational burden when compared with previously reported alternatives.

中文翻译:

并网变流器的空间矢量调制模型预测控制

本文提出了一种空间矢量调制模型预测控制(SVM $^{2}$PC) 用于电压源转换器。它克服了标准有限控制集模型预测控制器的局限性,确保快速动态响应、固定开关频率和低计算负担。它将凸优化问题中的控制和调制与仿射不等式约束相结合,以最小化输出变量的跟踪误差。首先,确定无约束解所在的空间矢量图的扇区。然后,使用 Karush-Kuhn-Tucker 条件,计算线性和过调制区域的可行占空比。提出的支持向量机 $^{2}$PC扩展到多电平转换器。硬件在环结果针对三个不同的案例研究:1) 并网逆变器LC滤波器;2)带LCL滤波器的两电平并网逆变器;3) 带LCL滤波器的并网中性点钳位逆变器。实验结果表明,所提出的 SVM $^{2}$与先前报道的替代方案相比,PC 提供了良好的性能、快速的响应和较低的计算负担。
更新日期:2022-07-25
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