LAPSE:2023.1921
Published Article

LAPSE:2023.1921
Performance Improvement of H8 Transformerless Grid-Tied Inverter Using Model Predictive Control Considering a Weak Grid
February 21, 2023
Abstract
There is increasing utilization of photovoltaic (PV) grid-connected systems in modern power networks. Currently, PV grid-connected systems utilize transformerless inverters that have the advantages of being low cost, low weight, a small size, and highly efficient. Unfortunately, these inverters have an earth leakage current problem due to the absence of galvanic isolation. This phenomenon represents safety and electrical problems for those systems. Recently, the H8 transformerless inverter was introduced to eliminate the earth leakage current. The present study proposes improving the performance of an H8 transformerless inverter using model predictive control (MPC). The inverter was supplied by PV energy and attached to the grid through an LCL filter. During system modeling, the grid weakness was identified. The discrete model of the overall system, including the PV panel, the boost converter, the H8 transformerless inverter, and the controllers, was derived. Then, the introduced H8 transformerless inverter system was simulated and analyzed by the Matlab/Simulink program. The proposed system response using MPC was tested under step disturbances in the PV insolation level. Moreover, the effect of the weak and strong grid operations was considered. The simulation results indicate that the MPC controller has better performance and high-quality injected power. Despite the excellent performance of the strong grid, the nearly weak grid performance is acceptable. Moreover, the Hardware-in-the-Loop (HIL) of the proposed system was implemented using the DSP target LaunchPadXLTMS320F28379D kit to validate the simulation results. Finally, the system performance under the parameter variations showed good robustness.
There is increasing utilization of photovoltaic (PV) grid-connected systems in modern power networks. Currently, PV grid-connected systems utilize transformerless inverters that have the advantages of being low cost, low weight, a small size, and highly efficient. Unfortunately, these inverters have an earth leakage current problem due to the absence of galvanic isolation. This phenomenon represents safety and electrical problems for those systems. Recently, the H8 transformerless inverter was introduced to eliminate the earth leakage current. The present study proposes improving the performance of an H8 transformerless inverter using model predictive control (MPC). The inverter was supplied by PV energy and attached to the grid through an LCL filter. During system modeling, the grid weakness was identified. The discrete model of the overall system, including the PV panel, the boost converter, the H8 transformerless inverter, and the controllers, was derived. Then, the introduced H8 transformerless inverter system was simulated and analyzed by the Matlab/Simulink program. The proposed system response using MPC was tested under step disturbances in the PV insolation level. Moreover, the effect of the weak and strong grid operations was considered. The simulation results indicate that the MPC controller has better performance and high-quality injected power. Despite the excellent performance of the strong grid, the nearly weak grid performance is acceptable. Moreover, the Hardware-in-the-Loop (HIL) of the proposed system was implemented using the DSP target LaunchPadXLTMS320F28379D kit to validate the simulation results. Finally, the system performance under the parameter variations showed good robustness.
Record ID
Keywords
common-mode voltage, H8, leakage current, Model Predictive Control, photovoltaic, transformerless inverter, weak grid
Subject
Suggested Citation
Zaid SA, Albalawi H, AbdelMeguid H, Alhmiedat TA, Bakeer A. Performance Improvement of H8 Transformerless Grid-Tied Inverter Using Model Predictive Control Considering a Weak Grid. (2023). LAPSE:2023.1921
Author Affiliations
Zaid SA: Electrical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia; Renewable Energy & Energy Efficiency Centre (REEEC), University of Tabuk, Tabuk 47913, Saudi Arabia [ORCID]
Albalawi H: Electrical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia; Renewable Energy & Energy Efficiency Centre (REEEC), University of Tabuk, Tabuk 47913, Saudi Arabia
AbdelMeguid H: Mechanical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia
Alhmiedat TA: Computer Science Department, Faculty of Computer & Information Technology, Industrial Innovation and Robotics Center, University of Tabuk, Tabuk 47913, Saudi Arabia [ORCID]
Bakeer A: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt [ORCID]
Albalawi H: Electrical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia; Renewable Energy & Energy Efficiency Centre (REEEC), University of Tabuk, Tabuk 47913, Saudi Arabia
AbdelMeguid H: Mechanical Engineering Department, Faculty of Engineering, University of Tabuk, Tabuk 47913, Saudi Arabia
Alhmiedat TA: Computer Science Department, Faculty of Computer & Information Technology, Industrial Innovation and Robotics Center, University of Tabuk, Tabuk 47913, Saudi Arabia [ORCID]
Bakeer A: Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan 81542, Egypt [ORCID]
Journal Name
Processes
Volume
10
Issue
7
First Page
1243
Year
2022
Publication Date
2022-06-22
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10071243, Publication Type: Journal Article
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LAPSE:2023.1921
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https://doi.org/10.3390/pr10071243
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