Content area

Abstract

Modular Multilevel Converter (MMC) has been applied to medium and high - voltage power systems recently because it has many advantages over other multilevel converters. This paper will present the algorithms of Nearest Level Modulation (NLM) and capacitor voltage balancing to greatly reduce the switching frequency as well as producing an output voltage at the AC side with very low harmonic distortion. The experimental system for the MMC converter requires a large amount of I/O signals ports. However, Digital Signal Processor (DSP) only provides up to 24 I/O signals ports while the experimental system of the MMC converter needs more than that. In this paper, the experimental system used FPGA to embed the proposed methods and applied to an MMC with 12 Sub-Modules (SM) to generate a 13-level AC voltage waveform. In this case, FPGA is the most suitable choice to develop the control circuit for the experimental system of MMC. The effectiveness of the proposed algorithm was verified by simulations and tested using a laboratory – scale prototype.

Details

1009240
Title
Experiment on nearest level modulation algorithm for FPGA based Modular Multilevel Converters
Volume
71
Issue
1
Pages
5-10
Publication year
2025
Publication date
2025
Publisher
Polish Academy of Sciences
Place of publication
Warsaw
Country of publication
Poland
Publication subject
ISSN
20818491
e-ISSN
23001933
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-04-07
Publication history
 
 
   First posting date
07 Apr 2025
ProQuest document ID
3194204957
Document URL
https://www.proquest.com/scholarly-journals/experiment-on-nearest-level-modulation-algorithm/docview/3194204957/se-2?accountid=208611
Copyright
© 2025. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-10-06
Database
ProQuest One Academic