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Optimal Parameter Identification of Perovskite Solar Cells Using Modified Bald Eagle Search Optimization Algorithm

Author

Listed:
  • Abdul Ghani Olabi

    (Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
    Mechanical Engineering and Design, School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK)

  • Hegazy Rezk

    (Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Wadi Alddawasir 11991, Saudi Arabia
    Electrical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt)

  • Mohammad Ali Abdelkareem

    (Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates
    Chemical Engineering Department, Faculty of Engineering, Minia University, Minia 61111, Egypt)

  • Tabbi Awotwe

    (Mechanical Engineering and Design, School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK)

  • Hussein M. Maghrabie

    (Department of Mechanical Engineering, Faculty of Engineering, South Valley University, Qena 83521, Egypt)

  • Fatahallah Freig Selim

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

  • Shek Mohammod Atiqure Rahman

    (Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates)

  • Sheikh Khaleduzzaman Shah

    (Renewable Energy and Energy Efficiency Group, Department of Infrastructure Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC 3010, Australia)

  • Alaa A. Zaky

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

Abstract

In this paper, a modified bald eagle search optimization algorithm was applied for the first time to determine the parameters of the triple diode model (TDM) of perovskite solar cells (PSCs). Two experimental datasets are considered; the first is measured I–V points for a PSC at standard conditions. The second consists of the measured I–V points for a modified PSC. In contrast, the cost function to be minimized is the root mean square error (RMSE) between the experimental dataset and the calculated one. To prove the superiority of modified bald eagle search optimization (mBES), a comparison with the original bald eagle search optimization (BES), particle swarm optimizer (PSO), Hunger games search (HGS), and recent Coronavirus Disease Optimization Algorithm (COVIDOA) was implemented. Furthermore, statistical analysis of ANOVA and Tukey tests was performed. The results demonstrate the lead of the recommended mBES in identifying the parameters of the TDM for PSCs, where the RMSE achieved the least value among the used optimization algorithms in this study.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:1:p:471-:d:1022223
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    References listed on IDEAS

    as
    1. Alaa A. Zaky & Ahmed Fathy & Hegazy Rezk & Konstantina Gkini & Polycarpos Falaras & Amlak Abaza, 2021. "A Modified Triple-Diode Model Parameters Identification for Perovskite Solar Cells via Nature-Inspired Search Optimization Algorithms," Sustainability, MDPI, vol. 13(23), pages 1-22, November.
    2. Mohammad Khajehzadeh & Suraparb Keawsawasvong & Moncef L. Nehdi, 2022. "Effective Hybrid Soft Computing Approach for Optimum Design of Shallow Foundations," Sustainability, MDPI, vol. 14(3), pages 1-20, February.
    3. Mahdiyeh Eslami & Mehdi Neshat & Saifulnizam Abd. Khalid, 2022. "A Novel Hybrid Sine Cosine Algorithm and Pattern Search for Optimal Coordination of Power System Damping Controllers," Sustainability, MDPI, vol. 14(1), pages 1-27, January.
    4. 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.
    5. Alaa A. Zaky & Mohamed N. Ibrahim & Ibrahim B. M. Taha & Bedir Yousif & Peter Sergeant & Evangelos Hristoforou & Polycarpos Falaras, 2022. "Perovskite Solar Cells and Thermoelectric Generator Hybrid Array Feeding a Synchronous Reluctance Motor for an Efficient Water Pumping System," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
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    Cited by:

    1. Nawal Rai & Amel Abbadi & Fethia Hamidia & Nadia Douifi & Bdereddin Abdul Samad & Khalid Yahya, 2023. "Biogeography-Based Teaching Learning-Based Optimization Algorithm for Identifying One-Diode, Two-Diode and Three-Diode Models of Photovoltaic Cell and Module," Mathematics, MDPI, vol. 11(8), pages 1-30, April.
    2. Habib Satria & Rahmad B. Y. Syah & Moncef L. Nehdi & Monjee K. Almustafa & Abdelrahman Omer Idris Adam, 2023. "Parameters Identification of Solar PV Using Hybrid Chaotic Northern Goshawk and Pattern Search," Sustainability, MDPI, vol. 15(6), pages 1-24, March.

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