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Model predictive control for parallel three-level T-type grid-connected inverters in renewable power generations

机译:可再生能源发电中并联三电平T型并网逆变器的模型预测控制

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As the penetration of renewable power generation units connected to the grid increases, high power quality and high efficiency have been widespread concerned. The parallel 3LTIs are necessary to improve the quality and efficiency of applications. The use of common dc-link without isolating transformers will cause the zero-sequence circulating current (ZSCC) problem. This study proposes a finite control set model predictive current control to suppress the ZSCC, balance the neutral-point (NP) voltage as well as control the currents with fast transient response. The cause of the ZSCC generated in the parallel 3LTI is analysed. The proposed ZSCC suppression technique is achieved through changing the redundant small vectors in the parallel 3LTIs. Moreover, the coupling problem between the ZSCC and NP balance is solved by the amplitude comparison of NP voltage and ZSCC. As a result, better ZSCC suppression and NP voltage performance can be achieved in different output currents and filter inductance condition. The proposed method has been verified experimentally.
机译:随着连接到电网的可再生能源发电设备的普及率的提高,高电能质量和高效率已受到广泛关注。并行3LTI对于提高应用程序的质量和效率是必不可少的。使用不带隔离变压器的公共直流母线会引起零序循环电流(ZSCC)问题。这项研究提出了一种有限控制模型预测电流控制,以抑制ZSCC,平衡中性点(NP)电压以及控制具有快速瞬态响应的电流。分析了在并行3LTI中生成ZSCC的原因。所提出的ZSCC抑制技术是通过更改并行3LTI中的冗余小矢量来实现的。此外,通过NP电压和ZSCC的幅度比较,解决了ZSCC和NP平衡之间的耦合问题。结果,在不同的输出电流和滤波器电感条件下,可以实现更好的ZSCC抑制和NP电压性能。该方法已通过实验验证。

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