FPGA-Based Implementation of MMC Control Based on Sorting Networks

• Published in: Energies (Basel) Vol. 11; no. 9; pp. 2394 - 18
• Main Authors: Ricco, Mattia, Mathe, Laszlo, Monmasson, Eric, Teodorescu, Remus
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-09-2018; MDPI
• Subjects: Algorithms; capacitor voltage balancing; Capacitors; Classification; Computer simulation; Converters; Engineering Sciences; Field programmable gate arrays; field-programmable gate array; Hardware-in-the-loop simulation; modular multilevel converters; Simulation; Sorting algorithms; sorting networks; modular multilevel converters; sorting networks; capacitor voltage balancing; field-programmable gate array
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en11092394

In Modular Multilevel Converter (MMC) applications, the balancing of the capacitor voltages is one of the most important issues for achieving the proper behavior of the MMC. The Capacitor Voltage Balancing (CVB) control is usually based on classical sorting algorithms which consist of repetitive/recursive loops. This leads to an increase of the execution time when many Sub-Modules (SMs) are employed. When the execution time of the balancing is longer than the sampling period, the proper operation of the MMC cannot be ensured. Moreover, due to their inherent sequential operation, sorting algorithms are suitable for software implementation (microcontrollers or DSPs), but they are not appropriate for a hardware implementation. Instead, in this paper, Sorting Networks (SNs) are proposed due to their convenience for implementation in FPGA devices. The advantages and the main challenges of the Bitonic SN in MMC applications are discussed and different FPGA implementations are presented. Simulation results are provided in normal and faulty conditions. Moreover, a comparison with the widely used bubble sorting algorithm and max/min approach is made in terms of execution time and performance. Finally, hardware-in-the-loop results are shown to prove the effectiveness of the implemented SN.