ZPUC-MMC: Real-Time Implementation with Model Predictive Control

With reduced number of components count, Modular Multilevel Converter (MMC) based on ZPUC converter can generate a higher number of voltage levels when compared to well-known topologies. However, the capacitors voltage balancing of ZPUC topology remains a challenge when operating as a submodule due to the high number of capacitor’s voltages to be regulated at the same time in each submodule. This becomes more complicated when several submodules operate and when no self voltage balancing can be achieved such the case of seven-level ZPUC (7L-ZPUC) converter. For this reason, Model Predictive Control (MPC), well known of its superiority in achieving multiple control objectives and superior dynamic performance is introduced in this paper as a controller for the MMC converter based 7L-ZPUC. A Finite Set Model Predictive Control method (FS-MPC) is designed to control a three-phase grid-connected MMC. The proposed FS-MPC is designed to generate thirteen-level output phase voltage and 25-level line-to-line voltages. A detailed real-time model of the converter and its suggested controller is developed and implemented in the real-time simulation software Hypersim to validate the effectiveness of the proposed predictive control. Real-time implementation results verify and demonstrate the good performance of the overall Software In the Loop (SIL) application.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905444
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

ZPUC-MMC: Real-Time Implementation with Model Predictive Control

Rawad Zgheib, Kamal Al‐Haddad, Fadia Sebaaly
Advanced Control Systems Optimization
article

ZPUC-MMC: Real-Time Implementation with Model Predictive Control

Rawad Zgheib, Kamal Al‐Haddad, Fadia Sebaaly
article en

Abstract

With reduced number of components count, Modular Multilevel Converter (MMC) based on ZPUC converter can generate a higher number of voltage levels when compared to well-known topologies. However, the capacitors voltage balancing of ZPUC topology remains a challenge when operating as a submodule due to the high number of capacitor’s voltages to be regulated at the same time in each submodule. This becomes more complicated when several submodules operate and when no self voltage balancing can be achieved such the case of seven-level ZPUC (7L-ZPUC) converter. For this reason, Model Predictive Control (MPC), well known of its superiority in achieving multiple control objectives and superior dynamic performance is introduced in this paper as a controller for the MMC converter based 7L-ZPUC. A Finite Set Model Predictive Control method (FS-MPC) is designed to control a three-phase grid-connected MMC. The proposed FS-MPC is designed to generate thirteen-level output phase voltage and 25-level line-to-line voltages. A detailed real-time model of the converter and its suggested controller is developed and implemented in the real-time simulation software Hypersim to validate the effectiveness of the proposed predictive control. Real-time implementation results verify and demonstrate the good performance of the overall Software In the Loop (SIL) application.

École de Technologie Supérieure (CA)
Openalex Percentile: Top 65%
Advanced Control Systems Optimization
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