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首页> 外文期刊>Emerging and Selected Topics in Power Electronics, IEEE Journal of >An Improved Model Predictive Controller for 27-Level Asymmetric Cascaded Inverter Applicable in High-Power PV Grid-Connected Systems
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An Improved Model Predictive Controller for 27-Level Asymmetric Cascaded Inverter Applicable in High-Power PV Grid-Connected Systems

机译:适用于适用于高功率PV网格连接系统的27级非对称级联逆变器的改进模型预测控制器

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The asymmetric cascaded H-bridge multilevel inverter (MLI) topology is more suitable for high-power/high-voltage applications compared with other topologies if the highest voltage H-bridge (the main cell) is modulated with the grid frequency (50/60 Hz). With specific modulation indexes, the power that passes through the main cell is more than 80% of the total power. This improves the efficiency and limits leakage current to the grid. However, achieving such a task is challenging using linear controllers and it was not proposed before in the literature using nonlinear controllers. This article presents a novel finite control set model predictive control (FCS-MPC) algorithm suitable for high-voltage/high-power single-stage central inverter connecting photovoltaic (PV) system to the grid. In addition to tracking the reference, multiple constraints are proposed; the first constraint is to modulate the main cell with the grid frequency, and the second constraint is to achieve nonregenerative operation in the lower voltage (the auxiliary) H-bridge cells to ensure the unidirectional power flow for the prerectifier. It should be noted that such constraints using weight factors added to the cost function in conventional FCS-MPC are not applicable to the implementation because the application requires separate independent control signals to individual H-bridge cells. Therefore, the proposed FCS-MPC controller implements the constraints using individual algorithms added to the respective H-bridge cell control signals. The proposed algorithm results in better mymargin THDs in the output current waveform compared with previous schemes. Furthermore, a duty-cycle optimization algorithm is implemented in addition to the conventional algorithms to achieve reduced errors at a relatively lower sampling frequency. The controller is verified and implemented using 2kW hardware prototype for grid-connected operation.
机译:如果用电网频率调制最高电压H桥(主电池),则不对称级联H桥多级逆变器(MLI)拓扑更适合于高功率/高压应用与其他拓扑相比(主电池)进行电网频率(50/60赫兹)。具有特定调制指标,通过主电池的功率超过总功率的80%。这提高了效率并将漏电流限制为网格。然而,实现这种任务是使用线性控制器具有挑战性的,并且在使用非线性控制器之前未提出。本文介绍了一种新型有限控制集模型预测控制(FCS-MPC)算法,适用于高压/大功率单级中央逆变器将光伏(PV)系统连接到网格。除了跟踪参考文献外,提出了多个约束;第一个约束是用电网频率调制主电池,第二约束是在较低电压(辅助)H桥单元中实现非调用操作,以确保预调音器的单向功率流。应当注意,使用在传统FCS-MPC中添加到成本函数的权重因子的这种约束不适用于实现,因为应用需要将独立的独立控制信号分开到单独的H桥单元。因此,所提出的FCS-MPC控制器使用添加到相应的H桥电池控制信号的单个算法实现限制。与先前的方案相比,所提出的算法导致输出电流波形中的更好的MyMarginTHD。此外,除了传统算法之外,还实现了占空比优化算法,以实现相对较低的采样频率的降低的误差。使用2kW硬件原型进行验证和实现控制器以进行网格连接操作。

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