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A Novel Hybrid Approach for Maximizing the Extracted Photovoltaic Power under Complex Partial Shading Conditions

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  • Altwallbah Neda Mahmod Mohammad

    (Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Selangor 43400, Malaysia
    Advanced Lightning, Power and Energy Research (ALPER) Centre, Universiti Putra Malaysia, Selangor 43400, Malaysia)

  • Mohd Amran Mohd Radzi

    (Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Selangor 43400, Malaysia
    Advanced Lightning, Power and Energy Research (ALPER) Centre, Universiti Putra Malaysia, Selangor 43400, Malaysia)

  • Norhafiz Azis

    (Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Selangor 43400, Malaysia
    Advanced Lightning, Power and Energy Research (ALPER) Centre, Universiti Putra Malaysia, Selangor 43400, Malaysia)

  • Suhaidi Shafie

    (Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, Selangor 43400, Malaysia)

  • Muhammad Ammirrul Atiqi Mohd Zainuri

    (Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Selangor 43400, Malaysia)

Abstract

The convenient design of a maximum power point tracking (MPPT) controller is key to the success of photovoltaic (PV) system performance in order to maximize the extracted power, which is affected significantly by weather fluctuations, particularly partial shading condition (PSC). This paper proposes a novel hybrid MPPT approach based on a modified Perturb and Observe (P&O) assisted by the Extremum Seeking Control (ESC) strategy, combining the benefits of these simple algorithms and, meanwhile, eliminating their drawbacks. The proposed algorithm is able to track the maximum possible power under any level of weather fluctuation, with comprehensive enhancement on all aspects of high performance, boosting the PV array efficiency to 100%, reducing the convergence time to less than 100 ms, completely eradicating the oscillations around the achieved power, and maintaining the simplicity levels of both involved strategies. More importantly, this algorithm is applicable for any PV array configuration, which enhances the robustness and novelty of the algorithm. The performance is verified using MATLAB/Simulink. A boost converter is used for controlling DC to DC (direct current to direct current) power. The proposed algorithm’s performance is compared with the conventional P&O and incremental conductance (IC) algorithms under four different cases of weather conditions. The shortcomings of these algorithms are illustrated and the analysis confirms the effectiveness of the proposed algorithm accordingly.

Suggested Citation

  • Altwallbah Neda Mahmod Mohammad & Mohd Amran Mohd Radzi & Norhafiz Azis & Suhaidi Shafie & Muhammad Ammirrul Atiqi Mohd Zainuri, 2020. "A Novel Hybrid Approach for Maximizing the Extracted Photovoltaic Power under Complex Partial Shading Conditions," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5786-:d:386352
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    References listed on IDEAS

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    1. Ram, J. Prasanth & Babu, T. Sudhakar & Rajasekar, N., 2017. "A comprehensive review on solar PV maximum power point tracking techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 826-847.
    2. 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.
    3. Larbes, C. & Aït Cheikh, S.M. & Obeidi, T. & Zerguerras, A., 2009. "Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system," Renewable Energy, Elsevier, vol. 34(10), pages 2093-2100.
    4. Li, Qiyu & Zhao, Shengdun & Wang, Mengqi & Zou, Zhongyue & Wang, Bin & Chen, Qixu, 2017. "An improved perturbation and observation maximum power point tracking algorithm based on a PV module four-parameter model for higher efficiency," Applied Energy, Elsevier, vol. 195(C), pages 523-537.
    5. Ahmed, Jubaer & Salam, Zainal, 2014. "A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability," Applied Energy, Elsevier, vol. 119(C), pages 118-130.
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    Cited by:

    1. Humberto Vidal & Marco Rivera & Patrick Wheeler & Nicolás Vicencio, 2020. "The Analysis Performance of a Grid-Connected 8.2 kWp Photovoltaic System in the Patagonia Region," Sustainability, MDPI, vol. 12(21), pages 1-16, November.

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