A Capacitor Voltage Balancing Approach Based on Mapping Strategy for MMC Applications

• Main Authors: Mattia Ricco, Laszlo Mathe, Manel Hammami, Francesco Lo Franco, Claudio Rossi, Remus Teodorescu
• Format: Article
• Language: English
• Published: MDPI AG 2019-04-01
• Series: Electronics
• Subjects: modular multilevel converters; capacitor voltage balancing; nearest level control; sorting strategy
• Online Access: https://www.mdpi.com/2079-9292/8/4/449

This paper proposes a new strategy to achieve balanced capacitor voltages in modular multilevel converters. Among the possible solutions, centralized arm control approaches are often adopted. These methods require a balancing technique based on a sorted list of the sub-modules according to their capacitor voltages. In order to achieve the aforementioned sorted list, different algorithms have been proposed in literature, such as: Sorting algorithms, max/min approaches, etc. However, the sorting algorithms require a long execution time, while the max/min approaches affect the converter dynamic response during faults. To overcome these issues, a new mapping strategy providing a quasi-sorted list is proposed in this paper. The suggested method is compared in simulation with both the classical bubble sorting algorithm, and the max/min method during both normal and faulty conditions. Moreover, the three methods have been implemented in a Xilinx Zynq-7000 System-on-Chip (SoC) device, in order to analyze the corresponding execution time and the required computational effort. Hardware-in-the-loop results are presented for demonstrating the superior performance of the proposed balancing strategy.