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Global Maximum Power Point Tracking of Partially Shaded PV System Using Advanced Optimization Techniques

Author

Listed:
  • Nouman Akram

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan)

  • Laiq Khan

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan)

  • Shahrukh Agha

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan)

  • Kamran Hafeez

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan)

Abstract

In this work, a meta-heuristic optimization based method, known as the Firefly Algorithm (FA), to achieve the maximum power point (MPP) of a solar photo-voltaic (PV) system under partial shading conditions (PSC) is investigated. The Firefly Algorithm outperforms other techniques, such as the Perturb & Observe (P&O) method, proportional integral derivative (PID, and particle swarm optimization (PSO). These results show that the Firefly Algorithm (FA) tracks the MPP accurately compared with other above mentioned techniques. The PV system performance parameters i.e., convergence and tracking speed, is improved compared to conventional MPP tracking (MPPT) algorithms. It accurately tracks the various situations that outperform other methods. The proposed method significantly increased tracking efficiency and maximized the amount of energy recovered from PV arrays. Results show that FA exhibits high tracking efficiency (>99%) and less convergence time (<0.05 s) under PSCs with less power oscillations. All of these methods have been validated in Matlab simulation software.

Suggested Citation

  • Nouman Akram & Laiq Khan & Shahrukh Agha & Kamran Hafeez, 2022. "Global Maximum Power Point Tracking of Partially Shaded PV System Using Advanced Optimization Techniques," Energies, MDPI, vol. 15(11), pages 1-29, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4055-:d:829155
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    References listed on IDEAS

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    1. Ahmed G. Abo-Khalil & Walied Alharbi & Abdel-Rahman Al-Qawasmi & Mohammad Alobaid & Ibrahim M. Alarifi, 2021. "Maximum Power Point Tracking of PV Systems under Partial Shading Conditions Based on Opposition-Based Learning Firefly Algorithm," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    2. Mingrui Zhang & Zheyang Chen & Li Wei, 2019. "An Immune Firefly Algorithm for Tracking the Maximum Power Point of PV Array under Partial Shading Conditions," Energies, MDPI, vol. 12(16), pages 1-15, August.
    3. Ishaque, Kashif & Salam, Zainal & Lauss, George, 2014. "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, Elsevier, vol. 119(C), pages 228-236.
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    Cited by:

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    4. Sy Ngo & Chian-Song Chiu & Thanh-Dong Ngo, 2022. "A Novel Horse Racing Algorithm Based MPPT Control for Standalone PV Power Systems," Energies, MDPI, vol. 15(20), pages 1-18, October.
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    8. Cheng-En Ye & Cheng-Chi Tai & Yu-Pei Huang, 2023. "Disperse Partial Shading Effect of Photovoltaic Array by Means of the Modified Complementary SuDoKu Puzzle Topology," Energies, MDPI, vol. 16(13), pages 1-16, June.

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