IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i21p12018-d668840.html
   My bibliography  Save this article

A Novel Hexagonal-Shaped Multilevel Inverter with Reduced Switches for Grid-Integrated Photovoltaic System

Author

Listed:
  • Md. Tariqul Islam

    (Electrical and Electronic Engineering Department, Faculty of Engineering, Green University of Bangladesh, Dhaka 1207, Bangladesh)

  • Hady H. Fayek

    (Electromechanics Engineering Department, Faculty of Engineering, Heliopolis University, Cairo 11785, Egypt)

  • Eugen Rusu

    (Department of Mechanical Engineering, Faculty of Engineering, ‘Dunarea de Jos’ University of Galati, Domneasca Street, Galati 800008, Romania)

  • Md. Fayzur Rahman

    (Electrical and Electronic Engineering Department, Faculty of Engineering, Green University of Bangladesh, Dhaka 1207, Bangladesh)

Abstract

To date, the grid-connected solar photovoltaic (PV) system has drawn consideration from researchers and academicians due to the speedy improvement and the declining price of solar panels. The proficiency and dependability of a grid integrated PV system rest mainly on the power conversion unit and the proper controlling mechanism. This paper introduces a novel asymmetric hexagonal-shaped fifteen-level inverter designed to feed a grid-integrated solar PV system. First, it aims to reduce the number of components and thereby decrease the installation space and cost of the multilevel inverter. Moreover, it has a low total blocking voltage (TBV) and total device rating (TDR) and uses few switching devices for generating per level of output voltage. The proposed topology utilizes only eight switching devices for generating fifteen levels at the output, which is lower than conventional multilevel inverter topologies. Here, a low-frequency modulation scheme using the half-height (HH) method generates switching pulses to minimize the complexity. The proposed multilevel inverter topology is also validated through the simulations in the MATLAB SIMULINK environment. The proposed inverter need for filters is illustrated according to different grid codes for integrating PV systems to the grid.

Suggested Citation

  • Md. Tariqul Islam & Hady H. Fayek & Eugen Rusu & Md. Fayzur Rahman, 2021. "A Novel Hexagonal-Shaped Multilevel Inverter with Reduced Switches for Grid-Integrated Photovoltaic System," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12018-:d:668840
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/21/12018/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/21/12018/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hady H. Fayek & Panos Kotsampopoulos, 2021. "Central Tunicate Swarm NFOPID-Based Load Frequency Control of the Egyptian Power System Considering New Uncontrolled Wind and Photovoltaic Farms," Energies, MDPI, vol. 14(12), pages 1-19, June.
    2. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    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. Luis Galván & Pablo J. Gómez & Eduardo Galván & Juan M. Carrasco, 2022. "Optimization-Based Capacitor Balancing Method with Customizable Switching Reduction for CHB Converters," Energies, MDPI, vol. 15(6), pages 1-19, March.
    2. Justin Ugwu & Kenneth C. Odo & Chibuike Peter Ohanu & Jorge García & Ramy Georgious, 2022. "Comprehensive Review of Renewable Energy Communication Modeling for Smart Systems," Energies, MDPI, vol. 16(1), pages 1-28, December.
    3. Sathyavani Bandela & Tara Kalyani Sandipamu & Hari Priya Vemuganti & Shriram S. Rangarajan & E. Randolph Collins & Tomonobu Senjyu, 2023. "An Efficacious Modulation Gambit Using Fewer Switches in a Multilevel Inverter," Sustainability, MDPI, vol. 15(4), pages 1-21, February.

    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. Ankita Choudhary & Ashutosh Kumar Singh & Rajib Kumar Mandal & Akshay Kumar Saha, 2024. "Switched Capacitor Inverter with Reduced Inrush Current and High Boosting Gain," Energies, MDPI, vol. 17(13), pages 1-21, June.
    2. Akhter, Muhammad Naveed & Mekhilef, Saad & Mokhlis, Hazlie & Ali, Raza & Usama, Muhammad & Muhammad, Munir Azam & Khairuddin, Anis Salwa Mohd, 2022. "A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems," Applied Energy, Elsevier, vol. 307(C).
    3. Muhyaddin Rawa & Marif Daula Siddique & Saad Mekhilef & Noraisyah Mohamed Shah & Hussain Bassi & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski, 2019. "Design and Implementation of a Hybrid Single T-Type Double H-Bridge Multilevel Inverter (STDH-MLI) Topology," Energies, MDPI, vol. 12(9), pages 1-15, May.
    4. Hady H. Fayek & Eugen Rusu, 2022. "Novel Combined Load Frequency Control and Automatic Voltage Regulation of a 100% Sustainable Energy Interconnected Microgrids," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    5. Yunlei Zhang & Cungang Hu & Qunjing Wang & Yufei Zhou & Yue Sun, 2019. "Neutral-Point Potential Balancing Control Strategy for Three-Level ANPC Converter Using SHEPWM Scheme," Energies, MDPI, vol. 12(22), pages 1-16, November.
    6. Jie Wu & Lizhong Bie & Nan Jin & Leilei Guo & Jitao Zhang & Jiagui Tao & Václav Snášel, 2020. "Dual-Frequency Output of Wireless Power Transfer System with Single Inverter Using Improved Differential Evolution Algorithm," Energies, MDPI, vol. 13(9), pages 1-15, May.
    7. Faris E. Alfaris & Essam A. Al-Ammar & Ghazi A. Ghazi & Ahmed A. Al-Katheri, 2024. "Design Enhancement of Grid-Connected Residential PV Systems to Meet the Saudi Electricity Regulations," Sustainability, MDPI, vol. 16(12), pages 1-29, June.
    8. Yin, Linfei & Gao, Qi & Zhao, Lulin & Wang, Tao, 2020. "Expandable deep learning for real-time economic generation dispatch and control of three-state energies based future smart grids," Energy, Elsevier, vol. 191(C).
    9. Yandi G. Landera & Oscar C. Zevallos & Rafael C. Neto & Jose F. da Costa Castro & Francisco A. S. Neves, 2023. "A Review of Grid Connection Requirements for Photovoltaic Power Plants," Energies, MDPI, vol. 16(5), pages 1-24, February.

    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:13:y:2021:i:21:p:12018-:d:668840. 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.