A simplified charge balancing algorithm for modular multilevel converter
A simplified charge balancing algorithm for modular multilevel converter
复制标题
模块化多电平变换器的简化电荷平衡算法
DOI：
10.1109/appeec.2017.8308940
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
S. Nath
中科院分区：
文献类型：
--
作者：
Rajdip Dey;S. Nath
模块化多电平变流器(MMC)具有其他电力电子变流器无法比拟的优点，在中高压输电系统中得到了广泛应用。对于传统的变流器来说，电容充电平衡并不是一个大问题。只有负载纹波电流流过直流连接电容器。主负载电流不影响电容器，它流经直流母线。对于MMC来说，当MMC运行时，所有模块电容器的电荷平衡是一项复杂的任务，因为满载电流流经所有模块。模块电容器的充电和放电非常迅速。在文献中已经提出的电荷平衡算法很少。由于在操作的每一步都要计算需要插入或绕过的模块的数量，所以它们具有执行时间长和复杂度高的缺点。本文根据相位配置调制技术，提出了一种简化的电荷平衡算法。在所提出的算法中，不需要计算在操作的每个步骤中需要插入或绕过的模块的数量。此外，栅极信号直接提供给模块开关。这项新技术速度快，复杂程度较低。利用该算法在MatLab Simulink环境下对一个九电平模块化多电平转换器进行了仿真。文中给出了所有的仿真结果。
Modular multilevel converter (MMC) is used in several applications of medium and high voltage transmission system as it has several advantages over other power electronic converters. For conventional converters, capacitor charge balancing is not a huge problem. Only the load ripple current flows through the DC link capacitor. Main load current doesn't affect the capacitor and it flows through the DC bus. For a MMC, charge balancing of all the module capacitors is a complicated task as the full load current flows through all the modules when MMC is operational. The module capacitors get charged and discharged very rapidly. Few charge balancing algorithms are already proposed in the literature. They have some disadvantages due to high execution time and complexity, as number of modules need to be inserted or bypassed is calculated in every step of operation. In this paper a simplified charge balancing algorithm is proposed depending upon the phase disposition modulation technique. In the proposed algorithm there is no need to calculate the number of modules that need to be inserted or bypassed during every step of operation. In addition, gate signals are given to the module switches directly. The new technique is fast and less complex. A nine level modular multilevel converter is simulated using the proposed algorithm in Matlab Simulink environment. All simulation results are presented in the paper.
影响因子：
6.7
作者：
Hagiwara, Makoto;Akagi, Hirofumi
通讯作者：
Akagi, Hirofumi