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Model Predictive Direct Power Control Based on Improved T-Type Grid-Connected Inverter

机译:基于改进型T型并网逆变器的模型预测直接功率控制

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In this paper, the improved T-type three-level topology can significantly reduce the conduction loss in zero states compared with the traditional T-type three-level topology. In the direct-axis and quadrature-axis rotating coordinate system, a control method combining the model predictive algorithm and the direct power control (DPC) is proposed. This control method divides 27 kinds of switch states into two groups and decides which group of switch states is to be scrolled optimally by comparing the two capacitor voltages on the dc side. This method reduces the computational burden by reducing the number of rolling optimization under the condition of ensuring the neutral point voltage balance. Compared with the traditional multilevel model predictive control, the method eliminates the need for predicting the neutral-point voltage as well as the cost function computation, and the control method is more direct and effective. Simulation and experimental results show that the proposed model predictive DPC method based on the improved T-topology can improve system robustness, fast dynamic response, wide operating range, and stability.
机译:与传统的T型三电平拓扑相比,改进的T型三电平拓扑可以显着降低零状态下的传导损耗。在直轴和正交轴旋转坐标系中,提出了一种结合模型预测算法和直接功率控制(DPC)的控制方法。该控制方法将27种开关状态分为两组,并通过比较dc侧的两个电容器电压来确定要最佳滚动的开关状态组。该方法通过在确保中性点电压平衡的条件下减少滚动优化次数来减轻计算负担。与传统的多电平模型预测控制相比,该方法省去了预测中性点电压和成本函数的计算,控制方法更加直接,有效。仿真和实验结果表明,所提出的基于改进的T拓扑的模型预测DPC方法可以提高系统的鲁棒性,快速的动态响应,较宽的工作范围和稳定性。

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