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Capacitance minimization in modular multilevel converters: A reliable and computationally efficient algorithm to identify optimal circulating currents and zero-sequence voltages

机译:模块化多电平转换器中的电容最小化:一种可靠且计算效率高的算法,可识别最佳循环电流和零序电压

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The superior harmonic performance of the modular multilevel converter (MMC) facilitates reduction in passive filtering requirements. However, in practice, any volume and weight reduction brought about by using smaller filtering components, is typically offset by the increase in stored capacitor energy inside the converter. To reduce capacitor voltage ripple, and therefore facilitate use of smaller capacitances, previous work proposes injection of harmonic components in the converter circulating currents and zero-sequence voltages. While this approach is effective, the resulting increase in converter voltage and current ratings can be significant. In this paper, harmonic reference voltages and currents are designed using an optimization technique known as linear programming. Appropriate design of the proposed linear program guarantees convexity, and complies with hard constraints on the resulting arm voltage and current ratings, while significantly reducing capacitor voltage ripple. It is also shown that hard constraints can be placed on the average arm currents, which provides effective control over semiconductor losses.
机译:模块化多电平转换器(MMC)的出色谐波性能有助于降低无源滤波要求。然而,实际上,通过使用较小的滤波组件而导致的任何体积和重量的减少通常都被转换器内部存储的电容器能量的增加所抵消。为了减少电容器电压纹波,并因此便于使用较小的电容,先前的工作提出将谐波分量注入转换器的循环电流和零序电压中。尽管这种方法很有效,但转换器电压和电流额定值的最终增加可能会很大。在本文中,谐波优化参考电压和电流是使用称为线性编程的优化技术来设计的。所建议的线性程序的适当设计可确保凸性,并且对所产生的臂电压和额定电流具有严格的约束,同时可显着降低电容器的电压纹波。还显示出可以对平均臂电流施加硬约束,这可以有效控制半导体损耗。

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