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Modeling and Optimization of Triple Diode Model of Dye-Sensitized Solar Panel Using Heterogeneous Marine Predators Algorithm

Author

Listed:
  • Alaa A. Zaky

    (Electrical Engineering Department, Kafrelsheikh University, Kafr El-Sheikh 33511, Egypt)

  • Hesham Alhumade

    (Chemical and Materials Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Center of Excellence in Desalination Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Dalia Yousri

    (Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 2933110, Egypt)

  • Ahmed Fathy

    (Electrical Engineering Department, Faculty of Engineering, Jouf University, Sakaka 72388, Saudi Arabia
    Electrical Power and Machine Department, Faculty of Engineering, Zagazig University, Ash Sharqia 7120001, Egypt)

  • Hegazy Rezk

    (Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Al-Kharj 16278, Saudi Arabia)

  • Lida Givalou

    (National Centre for Scientific Research “Demokritos”, Institute of Nanoscience and Nanotechnology, Agia Paraskevi Attikis, 15341 Athens, Greece)

  • Polycarpos Falaras

    (National Centre for Scientific Research “Demokritos”, Institute of Nanoscience and Nanotechnology, Agia Paraskevi Attikis, 15341 Athens, Greece)

Abstract

The reliable mathematical model construction of dye-sensitized solar cells (DSSCs) using the triple-diode model (TDM) is proposed but it is a challenge due to its complexity. This work implements a novel method incorporating a recent meta-heuristic optimizer called the heterogeneous marine predators algorithm (H-MPA) to identify the nine parameters of the triple-diode equivalent circuit of DSSCs. In the optimization procedure, the nine unknown parameters of TDM are employed as decision variables, but the objective function to be minimized is the root mean square error (RMSE) between the experimental data and the estimated data. To prove the superiority of the H-MPA, the obtained results are compared with the slime mold algorithm (SMA), Transient search optimizer (TSO), Manta-Ray Foraging Optimization algorithm (MRFO), Forensic-Based Investigation (FBI), Equilibrium optimizer (EO), and Artificial ecosystem-based optimizer. The primary findings demonstrated the superiority of the proposed strategy in building a consistent model of the triple-diode model of DSSCs.

Suggested Citation

  • Alaa A. Zaky & Hesham Alhumade & Dalia Yousri & Ahmed Fathy & Hegazy Rezk & Lida Givalou & Polycarpos Falaras, 2022. "Modeling and Optimization of Triple Diode Model of Dye-Sensitized Solar Panel Using Heterogeneous Marine Predators Algorithm," Mathematics, MDPI, vol. 10(17), pages 1-15, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:17:p:3143-:d:904055
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    Citations

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    Cited by:

    1. Abdul Ghani Olabi & Hegazy Rezk & Mohammad Ali Abdelkareem & Tabbi Awotwe & Hussein M. Maghrabie & Fatahallah Freig Selim & Shek Mohammod Atiqure Rahman & Sheikh Khaleduzzaman Shah & Alaa A. Zaky, 2023. "Optimal Parameter Identification of Perovskite Solar Cells Using Modified Bald Eagle Search Optimization Algorithm," Energies, MDPI, vol. 16(1), pages 1-14, January.

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