Lyapunov-Based Model Predictive Control for Stable Operation of a 9-Level Crossover Switches Cell Inverter in Grid Connection Mode

Trabelsi, Mohamed; Makhamreh, Harnza; Alquennah, Alamera Nouran; Vahedi, H

doi:10.1109/IECON51785.2023.10312376

Lyapunov-Based Model Predictive Control for Stable Operation of a 9-Level Crossover Switches Cell Inverter in Grid Connection Mode

Conference paper (2023)

Authors

Mohamed Trabelsi Kuwait College of Science and Technology, Kuwait

Harnza Makhamreh Özyeğin University

Alamera Nouran Alquennah Texas A&M University

H Vahedi DC systems, Energy conversion & Storage -

Research Group

DC systems, Energy conversion & Storage () (TU Delft)

DOI: https://doi.org/10.1109/IECON51785.2023.10312376

Model Predictive Control Crossover Switches Cell Converter Multilevel Inverters Lyapunov-based Control Grid-Connection

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Published Date

2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

Abstract

This study proposes the application of a Lyapunov-based Model Predictive Control (L-MPC) approach to a 9-level Crossover Switches Cell (CSC9) converter operating in grid connection mode. The proposed method utilizes the structure of the classical finite-control-set MPC (FCS-MPC) technique while integrating a cost function that requires no tuning. By deriving the cost function based on Lyapunov theory, the system stability is ensured. Notably, the suggested approach offers several advantages over traditional MPC controllers. Firstly, it eliminates the need for gain tuning, thereby simplifying the implementation process. Secondly, the proposed controller prioritizes stability as a key design aspect. The presented simulation results prove that the proposed controller effectively regulates the voltage of the DC capacitor around its desired value and feed a smooth sinusoidal current to the grid with low total harmonic distortion (THD) while operating at a unity power factor.

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