IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2021i1p310-d713093.html
   My bibliography  Save this article

Archimedes Optimization Algorithm Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter

Author

Listed:
  • Rashid Ahmed Khan

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan)

  • Shoeb Azam Farooqui

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan)

  • Mohammad Irfan Sarwar

    (Grenoble Institute of Technology—Ense3, Université Grenoble Alpes, 38400 Grenoble, France)

  • Seerin Ahmad

    (Department of Electrical Engineering and Computer Science, Texas A&M University, Kingsville, TX 78363, USA)

  • Mohd Tariq

    (Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh 202002, India)

  • Adil Sarwar

    (Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh 202002, India)

  • Mohammad Zaid

    (Department of Electrical Engineering, ZHCET, Aligarh Muslim University, Aligarh 202002, India)

  • Shafiq Ahmad

    (Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

  • Adamali Shah Noor Mohamed

    (Electrical Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

Abstract

This paper presents the Archimedes optimization algorithm to eliminate selective harmonics in a cascaded H-bridge (CHB) multilevel inverter (MLI). The foremost objective of the selective harmonic elimination (SHE) is to eliminate lower order harmonics by finding the optimal switching angle combination which minimizes the objective function containing Total Harmonic Distortion (THD) and other specific harmonic terms. Consequently, the THD is also reduced. In this study, a recently proposed metaheuristic technique named the Archimedes optimization algorithm (AOA) is used to determine the optimal angles corresponding to the 5, 7 and 9 level CHB-MLI. AOA involves equations related to a physical law, the Archimedes Principle. It is based on the idea of a buoyant force acting upward on a body or object that is partially or completely submerged in a fluid, and the upward force is related to the weight of the fluid displaced. This optimization technique has been implemented on CHB-MLI to generate various level outputs, simulated on MATLAB™ R2021a version environment software. The simulation results reveal that AOA is a high-performance optimization technique in terms of convergence speed and exploitation-exploration balance and is well-suited to the solution of the SHE problem. Furthermore, the laboratory validated the simulation result on a hardware setup using DSP-TMS320F28379D.

Suggested Citation

  • Rashid Ahmed Khan & Shoeb Azam Farooqui & Mohammad Irfan Sarwar & Seerin Ahmad & Mohd Tariq & Adil Sarwar & Mohammad Zaid & Shafiq Ahmad & Adamali Shah Noor Mohamed, 2021. "Archimedes Optimization Algorithm Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter," Sustainability, MDPI, vol. 14(1), pages 1-25, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2021:i:1:p:310-:d:713093
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/1/310/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/1/310/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Shafiq Ahmad, 2022. "Electromagnetic Field Optimization Based Selective Harmonic Elimination in a Cascaded Symmetric H-Bridge Inverter," Energies, MDPI, vol. 15(20), pages 1-18, October.

    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:14:y:2021:i:1:p:310-:d:713093. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.