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Model Predictive Control of Grid Connected Modular Multilevel Converter for Integration of Photovoltaic Power Systems

机译:光伏发电系统并网模块化多电平变换器的模型预测控制

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Investigation of an advanced control structure for integration of Photovoltaic Power Systems through Grid Connected-Modular Multilevel Converter (GC-MMC) is proposed in this paper. To achieve this goal, a non-linear model of MMC regarding considering of negative and positive sequence components has been presented. Then, due to existence of unbalance voltage faults in distribution grid, non-linarites and uncertainties in model, model predictive controller which is developed for GC-MMC. They are implemented based upon positive and negative components of voltage and current to mitigate the power quality problems. Finally, numerical results are given in order to show the dynamic performance of GC-MMC prototype under normal and unbalanced fault conditions. They illustrate the proposed current controllers are more effective under voltage disturbance conditions and it could keep the MMC stable under different conditions.
机译:本文提出了一种通过并网模块化多电平转换器(GC-MMC)集成光伏电力系统的高级控制结构的研究。为了实现这个目标,提出了一种考虑负序和正序分量的MMC非线性模型。然后,由于配电网中存在不平衡电压故障,非线性问题和模型不确定性,为GC-MMC开发了模型预测控制器。它们基于电压和电流的正负分量来实施,以缓解电能质量问题。最后,给出数值结果以表明GC-MMC原型在正常和不平衡故障条件下的动态性能。它们说明了所提出的电流控制器在电压扰动条件下更有效,并且可以使MMC在不同条件下保持稳定。

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