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Fractional Chaos Maps with Flower Pollination Algorithm for Partial Shading Mitigation of Photovoltaic Systems

Author

Listed:
  • Dalia Yousri

    (Electrical Engineering Department, Faculty of Engineering, Fayoum University, Al Fayoum, Fayoum 63514, Egypt)

  • Thanikanti Sudhakar Babu

    (Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga National, Jalan IKRAM-UNITEN, Kajang 43000, Malaysia)

  • Dalia Allam

    (Electrical Engineering Department, Faculty of Engineering, Fayoum University, Al Fayoum, Fayoum 63514, Egypt)

  • Vigna. K. Ramachandaramurthy

    (Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga National, Jalan IKRAM-UNITEN, Kajang 43000, Malaysia)

  • Eman Beshr

    (Electrical and Control Engineering Department, Arab Academy for Science, Technology, and Maritime Transport, Sheraton Al Matar, P.O.2033 Elhorria, Cairo 11311, Egypt)

  • Magdy. B. Eteiba

    (Electrical Engineering Department, Faculty of Engineering, Fayoum University, Al Fayoum, Fayoum 63514, Egypt)

Abstract

Solar Photovoltaic (PV) systems have become prominent and have attained the attention of energy engineers, governments and researchers. To achieve the maximum benefit from the PV system in spite of its nonlinear characteristic and environmental conditions, finding a robust maximum power point tracking method is essential. Over two decades, various researchers proposed numerous MPPT methods, but they failed to evaluate their methods on consistency, reliability, and robustness over several numbers of runs. Most of the researchers examined one configuration and they did not to consider the dynamic change in the irradiation conditions. Therefore, in this manuscript, the authors introduced a novel optimization technique Fractional chaotic Flower Pollination Algorithm (FC-FPA), by merging fractional chaos maps with flower pollination algorithm (FPA). The proposed technique, help FPA in extracting the Global Maximum Power Point (GMPP) under different partial shading patterns including with different PV array configurations. The proposed FC-FPA technique is tested and evaluated over 5 different patterns of partial shading conditions. The first three patterns are tested over 4S configuration made with Shell S36 PV module. The other two patterns are applied to the 4S2P configuration of Shell SM55 PV panels. The performance of the proposed variant is investigated by tracking the GMPP for abruptly changing shade pattern. Exclusive statistical analysis is performed over several numbers of runs. Comparison with perturb and observe MPPT technique is established. These results confirm that, the proposed method shows fast convergence, zero oscillation and rapid response for the dynamic change in irradiation with consistent behavior.

Suggested Citation

  • Dalia Yousri & Thanikanti Sudhakar Babu & Dalia Allam & Vigna. K. Ramachandaramurthy & Eman Beshr & Magdy. B. Eteiba, 2019. "Fractional Chaos Maps with Flower Pollination Algorithm for Partial Shading Mitigation of Photovoltaic Systems," Energies, MDPI, vol. 12(18), pages 1-27, September.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:18:p:3548-:d:267765
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    References listed on IDEAS

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    Cited by:

    1. Abinands Ramshanker & Jacob Raglend Isaac & Belwin Edward Jeyeraj & Jose Swaminathan & Ravi Kuppan, 2022. "Optimal DG Placement in Power Systems Using a Modified Flower Pollination Algorithm," Energies, MDPI, vol. 15(22), pages 1-17, November.
    2. Mohammad Nor Rafiq Nazeri & Mohammad Faridun Naim Tajuddin & Thanikanti Sudhakar Babu & Azralmukmin Azmi & Maria Malvoni & Nallapaneni Manoj Kumar, 2021. "Firefly Algorithm-Based Photovoltaic Array Reconfiguration for Maximum Power Extraction during Mismatch Conditions," Sustainability, MDPI, vol. 13(6), pages 1-30, March.
    3. Manoharan Premkumar & Umashankar Subramaniam & Thanikanti Sudhakar Babu & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2020. "Evaluation of Mathematical Model to Characterize the Performance of Conventional and Hybrid PV Array Topologies under Static and Dynamic Shading Patterns," Energies, MDPI, vol. 13(12), pages 1-37, June.
    4. Yousri, Dalia & Thanikanti, Sudhakar Babu & Allam, Dalia & Ramachandaramurthy, Vigna K. & Eteiba, M.B., 2020. "Fractional chaotic ensemble particle swarm optimizer for identifying the single, double, and three diode photovoltaic models’ parameters," Energy, Elsevier, vol. 195(C).
    5. Dhivya Swaminathan & Arul Rajagopalan, 2022. "Optimized Network Reconfiguration with Integrated Generation Using Tangent Golden Flower Algorithm," Energies, MDPI, vol. 15(21), pages 1-19, November.

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