Optimizing Voltage Balancing Method of Power Electronic Transformer Based on MMC

L. Xu, Baoge Zhang, Donghao Wang
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Abstract

In practical engineering applications, capacitor voltage sorting of Modular Multilevel Converter (MMC) in Power Electronic Transformer (PET) input stage is a huge engineering difficulty. To solve the problems of traditional voltage balancing sorting algorithm, such as high switching frequency, large amount of computation and large switching loss, an optimizing voltage balancing method is proposed to reduce time complexity and switching frequency. Firstly, Merge sort is used to select the appropriate elements as reference values of the randomized-select algorithm, and then the randomized-select algorithm is used for quick sorting. On this basis, the reordering factor is introduced. When the difference of capacitance voltage between sub-modules (SMs) is small, it avoids reordering and keeps trigger pulse unchanged; otherwise, it quickly reorders. Selective sorting of MMC controllers not only further reduces the computational complexity of the controllers, but also effectively reduces switching losses. Finally, the feasibility and validity of the proposed optimization method are verified with MATLAB simulation.
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基于MMC的电力电子变压器电压平衡优化方法
在实际工程应用中,电力电子变压器(PET)输入级模块化多电平变换器(MMC)的电容电压分选是一个巨大的工程难题。针对传统电压平衡排序算法开关频率高、计算量大、开关损耗大的问题,提出了一种优化电压平衡算法,以降低时间复杂度和开关频率。首先使用归并排序选择合适的元素作为随机选择算法的参考值,然后使用随机选择算法进行快速排序。在此基础上,引入了重排序因子。当子模块间电容电压差较小时,可避免重排序,保持触发脉冲不变;否则,它会迅速重新排序。MMC控制器的选择性排序不仅进一步降低了控制器的计算复杂度,而且有效地降低了切换损失。最后,通过MATLAB仿真验证了所提优化方法的可行性和有效性。
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