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A Novel Multilevel Inverter Topology Generating a 19-Level Output Regulated by the PD-PWM Method

Author

Listed:
  • Sofia Lemssaddak

    (Digital Engineering for Leading Technology and Automation Laboratory (DELTA Lab), ENSAM Casablanca, Hassan II University of Casablanca, Casablanca 20360, Morocco
    Multidisciplinary Laboratory of Research and Innovation (LPRI), Moroccan School of Engineering Sciences (EMSI), Casablanca 20250, Morocco)

  • Abdelhafid Ait Elmahjoub

    (Digital Engineering for Leading Technology and Automation Laboratory (DELTA Lab), ENSAM Casablanca, Hassan II University of Casablanca, Casablanca 20360, Morocco)

  • Mohamed Tabaa

    (Multidisciplinary Laboratory of Research and Innovation (LPRI), Moroccan School of Engineering Sciences (EMSI), Casablanca 20250, Morocco)

  • Adnane El-Alami

    (Digital Engineering for Leading Technology and Automation Laboratory (DELTA Lab), ENSAM Casablanca, Hassan II University of Casablanca, Casablanca 20360, Morocco)

  • Mourad Zegrari

    (Digital Engineering for Leading Technology and Automation Laboratory (DELTA Lab), ENSAM Casablanca, Hassan II University of Casablanca, Casablanca 20360, Morocco)

Abstract

Traditional multilevel inverter topologies, such FC, NPC, and CHB, have a few significant disadvantages. They need a great number of parts, which raises the complexity, expense, and switching losses. Furthermore, their intricate control schemes make voltage balancing and synchronization challenging. Lastly, under some circumstances, they experience severe harmonic distortion, necessitating the inclusion of expensive filters to enhance signal quality. This paper proposes a novel multilevel converter topology that uses the phase-disposition PWM (PD-PWM) technique to control a 19-level output. This new configuration maintains performance comparable to the CHB-MLI reference while using fewer switches, simplifying control, and reducing costs. Our approach is based on extensive simulations conducted in the MATLAB Simulink environment, with results compared to the CHB-MLI. A low-pass filter is added to improve the output voltage quality, reducing the THD% to 1.33%. This strategy offers several advantages, including simpler control, lower costs, increased reliability, and higher-quality output. The system was replicated using MATLAB Simulink and validated through hardware-in-the-loop (HIL) testing. The HIL method ensures real-world testing without causing damage to the hardware. The integrated system includes sensors and necessary hardware for a comprehensive energy management solution.

Suggested Citation

  • Sofia Lemssaddak & Abdelhafid Ait Elmahjoub & Mohamed Tabaa & Adnane El-Alami & Mourad Zegrari, 2025. "A Novel Multilevel Inverter Topology Generating a 19-Level Output Regulated by the PD-PWM Method," Energies, MDPI, vol. 18(13), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3227-:d:1683336
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    References listed on IDEAS

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    1. Yatindra Gopal & Yarrem Narasimhulu Vijaya Kumar & Akanksha Kumari & Om Prakash & Subrata Chowdhury & Abdullah A. Almehizia, 2023. "Reduced Device Count for Self Balancing Switched-Capacitor Multilevel Inverter Integration with Renewable Energy Source," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
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    3. Ashish Srivastava & Anurag Chauhan & Anurag Tripathi, 2025. "Performance Comparison of Asymmetrical Multilevel Inverter with Different Switching Techniques," Energies, MDPI, vol. 18(3), pages 1-19, February.
    4. Rabail Memon & Mukhtiar Ahmed Mahar & Abdul Sattar Larik & Syed Asif Ali Shah, 2023. "Design and Performance Analysis of New Multilevel Inverter for PV System," Sustainability, MDPI, vol. 15(13), pages 1-19, July.
    5. Subhashree Choudhury & Mohit Bajaj & Taraprasanna Dash & Salah Kamel & Francisco Jurado, 2021. "Multilevel Inverter: A Survey on Classical and Advanced Topologies, Control Schemes, Applications to Power System and Future Prospects," Energies, MDPI, vol. 14(18), pages 1-48, September.
    6. Youness Hakam & Ahmed Gaga & Mohamed Tabaa & Benachir Elhadadi, 2024. "Intelligent Integration of Vehicle-to-Grid (V2G) and Vehicle-for-Grid (V4G) Systems: Leveraging Artificial Neural Networks (ANNs) for Smart Grid," Energies, MDPI, vol. 17(13), pages 1-19, June.
    7. Adyr A. Estévez-Bén & Alfredo Alvarez-Diazcomas & Juvenal Rodríguez-Reséndiz, 2020. "Transformerless Multilevel Voltage-Source Inverter Topology Comparative Study for PV Systems," Energies, MDPI, vol. 13(12), pages 1-26, June.
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