IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p8000-d1146571.html
   My bibliography  Save this article

Reduced Device Count for Self Balancing Switched-Capacitor Multilevel Inverter Integration with Renewable Energy Source

Author

Listed:
  • Yatindra Gopal

    (Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor 517127, Andhra Pradesh, India)

  • Yarrem Narasimhulu Vijaya Kumar

    (Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor 517127, Andhra Pradesh, India)

  • Akanksha Kumari

    (Department of Electronics and Communication Engineering, Sreenivasa Institute of Technology and Management Studies, Chittoor 517127, Andhra Pradesh, India)

  • Om Prakash

    (Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering and Technology, Chittoor 517127, Andhra Pradesh, India)

  • Subrata Chowdhury

    (Department of Computer Science and Engineering, Sreenivasa Institute of Technology and Management Studies, Chittoor 517127, Andhra Pradesh, India)

  • Abdullah A. Almehizia

    (Future Energy Institute, King Abdulaziz City for Science and Technology, Riyadh 12354, Saudi Arabia)

Abstract

In this study, a new switched-capacitor-based seven-level inverter topology with a photovoltaic system is presented. The proposed topology requires a smaller number of devices and has the ability to self-balance the voltage across the capacitor. The proposed topology configuration is simple and has the ability to extend to higher levels of voltage. This multilevel inverter topology is suitable for low- and medium-voltage applications with photovoltaic (PV) system integration. To improve the PV system efficiency as an input of a DC–DC boost converter, a Fuzzy logic-based maximum power point controller technique is used. A PV system with a DC–DC boost converter integrates with the proposed seven-level inverter topology. The anti-predatory particle swarm optimization (APSO) technique is used to solve the non-linear transduction equations of the seven-level PV switched-capacitor-based multilevel inverter (7L−PV−SCMLI) topology. The proposed APSO is described to minimize the harmonics in the multilevel inverter (MLIs), which is a complex optimization problem involving a non-linear transcendental equation. Furthermore, APSO can be applied in order to solve non-linear transcendental equations for all symmetrical and asymmetrical MLIs that have equal and non-equal DC sources. The APSO-based selected harmonic elimination (SHE) technique obtained the best switching angle value, and the optimized obtained switching angles reduced the total harmonic distortion (THD) of 7L−PV−SCMLI.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8000-:d:1146571
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/8000/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/10/8000/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kancharapu Aditya & Y. Suresh & R. Dilip Kumar & B. Shiva Naik & B. Nageswar Rao & C. Dhanamjayulu, 2023. "A Single Source Self-Balanced Boost MLI with Reduced Part Count for EV Applications," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    2. Muhammad Ahsan Ayub & Saddam Aziz & Yitao Liu & Jianchun Peng & Jian Yin, 2023. "Design and Control of Novel Single-Phase Multilevel Voltage Inverter Using MPC Controller," Sustainability, MDPI, vol. 15(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdul Jabbar Memon & Mukhtiar Ahmed Mahar & Abdul Sattar Larik & Muhammad Mujtaba Shaikh, 2023. "A Comprehensive Review of Reduced Device Count Multilevel Inverters for PV Systems," Energies, MDPI, vol. 16(15), pages 1-29, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nurbanu Catalbas & Ahmet Gungor Pakfiliz & Gokhan Soysal, 2024. "Multilevel Aircraft-Inverter Design Based on Wavelet PWM for More Electric Aircraft," Energies, MDPI, vol. 17(9), pages 1-23, April.
    2. Saddam Aziz & Cheung-Ming Lai & Ka Hong Loo, 2023. "Performance of an Adaptive Optimization Paradigm for Optimal Operation of a Mono-Switch Class E Induction Heating Application," Mathematics, MDPI, vol. 11(13), pages 1-18, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8000-:d:1146571. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.