Model Predictive Control of Modular Multilevel Converter with High Number of Submodules

This paper proposes a Level Model Predictive Control strategy combined with a pre-processing sorting algorithm to address the processing time issue of predictive control for Modular Multilevel Converters (MMCs) with hundreds of submodules. Five control objectives are optimized in a single cost funct...

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Published in:2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) pp. 1 - 10
Main Authors: Kadhum, Hussein, Alan, Watson, Saleh, Beeond M., Marco, Rivera, Pericle, Zanchetta, Patrick, Wheeler
Format: Conference Proceeding
Language:English
Published: EPE Association 04.09.2023
Subjects:
Capacitor voltage balancing
Capacitors
Control systems
Cost function
Europe
HVDC
Model predictive control
Modular Multilevel Converters (MMC)
MPC (Model-based Predictive Control)
Multilevel converters
Prediction algorithms
Voltage fluctuations
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Abstract This paper proposes a Level Model Predictive Control strategy combined with a pre-processing sorting algorithm to address the processing time issue of predictive control for Modular Multilevel Converters (MMCs) with hundreds of submodules. Five control objectives are optimized in a single cost function, resulting in good performance under a range of operating conditions, validated using PLECs simulation results.
AbstractList This paper proposes a Level Model Predictive Control strategy combined with a pre-processing sorting algorithm to address the processing time issue of predictive control for Modular Multilevel Converters (MMCs) with hundreds of submodules. Five control objectives are optimized in a single cost function, resulting in good performance under a range of operating conditions, validated using PLECs simulation results.
Author Pericle, Zanchetta
Marco, Rivera
Alan, Watson
Patrick, Wheeler
Saleh, Beeond M.
Kadhum, Hussein
Author_xml – sequence: 1
  givenname: Hussein
  surname: Kadhum
  fullname: Kadhum, Hussein
  email: alyhk3@nottingham.ac.uk
  organization: University of Nottingham,Electrical and Electronic Engineering Dept.,Nottingham,UK
– sequence: 2
  givenname: Watson
  surname: Alan
  fullname: Alan, Watson
  email: Alan.Watson@nottingham.ac.uk
  organization: University of Nottingham,Electrical and Electronic Engineering Dept.,Nottingham,UK
– sequence: 3
  givenname: Beeond M.
  surname: Saleh
  fullname: Saleh, Beeond M.
  email: beeond.saleh@nottingham.ac.uk
  organization: University of Nottingham,Electrical and Electronic Engineering Dept.,Nottingham,UK
– sequence: 4
  givenname: Rivera
  surname: Marco
  fullname: Marco, Rivera
  email: Marco.Rivera@nottingham.ac.uk
  organization: University of Nottingham,Electrical and Electronic Engineering Dept.,Nottingham,UK
– sequence: 5
  givenname: Zanchetta
  surname: Pericle
  fullname: Pericle, Zanchetta
  email: Pericle.Zanchetta@nottingham.ac.uk
  organization: University of Nottingham,Electrical and Electronic Engineering Dept.,Nottingham,UK
– sequence: 6
  givenname: Wheeler
  surname: Patrick
  fullname: Patrick, Wheeler
  email: Pat.Wheeler@nottingham.ac.uk
  organization: University of Nottingham,Electrical and Electronic Engineering Dept.,Nottingham,UK
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Snippet This paper proposes a Level Model Predictive Control strategy combined with a pre-processing sorting algorithm to address the processing time issue of...
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SubjectTerms Capacitor voltage balancing
Capacitors
Control systems
Cost function
Europe
HVDC
Model predictive control
Modular Multilevel Converters (MMC)
MPC (Model-based Predictive Control)
Multilevel converters
Prediction algorithms
Voltage fluctuations
Title Model Predictive Control of Modular Multilevel Converter with High Number of Submodules
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