arrow
Return

Predictive Nearest-Level Control Algorithm for Modular Multilevel Converters With Reduced Harmonic Distortion

delete2021-01-01
delete9
delete
OA
AI
M
Minh Hoang Nguyen
S
Sangshin Kwak *
DOI:10.1109/ACCESS.2020.3048156delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Owing to the low number of submodules (SMs) in modular multilevel converters (MMCs), especially in medium-voltage applications, the output current and voltage generated by conventional nearest-level control (NLC) methods contain evident distortions. Previously, various hybrid and level-increased NLC methods have been proposed to improve the output voltage quality, but such measures wither increased the complexity or did not regulate all the control objectives simultaneously. To further enhance the output performances of MMCs containing low numbers of SMs, an improved predictive NLC (I-PNLC) method combining NLC and model predictive control (MPC) is proposed, where the output and circulating currents are regulated with the corresponding predicted references, and the output voltage is controlled by the added voltage correction. The proposed I-PNLC not only reduces the output current and voltage total harmonic distortion (THD) considerably but also avoids additional complexity in the control system design. The results of simulations and an experiment are presented to verify the proposed approach, in addition to a comparison of the evaluations of conventional NLC methods.
Keywords:
Modular multilevel converter
nearest-level control (NLC)
nearest-level modulation
level-increased NLC
output voltage
predictive control
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

C
Chung Ang University
Scholars:
1.3W
Papers: 1.4W
Citations: 133