Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/56854
Title: An Extendable Zeta Converter Based Grid-Connected Multilevel Inverter with Model Predictive Control Method
Authors: Ortatepe, Z.
Aksoz, S.
Keywords: Coat circuit
model predictive control
multilevel inverter
zeta converter
Circuit simulation
Electric inverters
MATLAB
Power quality
Predictive control systems
Renewable energy
Solar panels
Timing circuits
Topology
Coat circuit
Design and analysis
Energy systems
Grid-connected
Model-predictive control
Multi Level Inverter (MLI)
Photovoltaic panels
Predictive control methods
Renewable energies
Zeta converter
Model predictive control
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: This study presents design and analysis of an extendable grid-connected DC-AC n-level multilevel inverter with the minimum component count for renewable energy systems, specifically focusing on photovoltaic (PV) panel applications. The proposed topology utilizes a zeta converter based on a coat circuit to harness potential of PV panels, allowing for the extraction of multiple DC voltage levels. These multi-output DC voltages are subsequently employed to generate a multilevel AC output voltage. In addition, model predictive control (MPC) method is applied to the n-level multilevel inverter instead of complex modulation algorithms in order to provide gate signals of the switches and to secure grid connection. Proposed multilevel inverter topology not only ensures high-quality AC output but also enhances grid integration and compatibility with various renewable energy applications. Simulation studies have been implemented in MATLAB/Simulink. Through design and simulation, this paper demonstrates the robustness and effectiveness of the proposed topology, making it valuable for renewable energy systems. © 2024 IEEE.
Description: Gazi University;OPAL-RT Technologies;Qatar General Electricity and Water Corporation (KAHRAMAA);Qatar Research Development and Innovation (QRDI);Texas A and M University at Qatar
4th International Conference on Smart Grid and Renewable Energy, SGRE 2024 -- 8 January 2024 through 10 January 2024 -- 197322
URI: https://doi.org/10.1109/SGRE59715.2024.10428816
https://hdl.handle.net/11499/56854
ISBN: 9798350306262
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Teknoloji Fakültesi Koleksiyonu

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