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Performance Optimization of a Ten Check MPPT Algorithm for an Off-Grid Solar Photovoltaic System

Author

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  • Muhammad Mateen Afzal Awan

    (Department of Electrical Engineering, University of Management and Technology Lahore, Sialkot 51310, Pakistan)

  • Muhammad Yaqoob Javed

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan)

  • Aamer Bilal Asghar

    (Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan)

  • Krzysztof Ejsmont

    (Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, 02-524 Warsaw, Poland)

Abstract

In order to operate a solar photovoltaic (PV) system at its maximum power point (MPP) under numerous weather conditions, it is necessary to achieve uninterrupted optimal power production and to minimize energy losses, energy generation cost, and payback time. Under partial shading conditions (PSC), the formation of multiple peaks in the power voltage characteristic curve of a PV cell puzzles conventional MPP tracking (MPPT) algorithms trying to identify the global MPP (GMPP). Meanwhile, soft-computing MPPT algorithms can identify the GMPP even under PSC. Drawbacks such as structural complexity, computational complexity, huge memory requirements, and difficult implementation all affect the viability of soft-computing algorithms. However, those drawbacks have been successfully overcome with a novel ten check algorithm (TCA). To improve the performance of the TCA in terms of MPPT speed and efficiency, a novel concept of data arrangement is introduced in this paper. The proposed structure is referred to as Optimized TCA (OTCA). A comparison of the proposed OTCA and classic TCA algorithms was conducted for standard benchmarks. The results proved the superiority of the OTCA algorithm compared to both TCA and flower pollination (FPA) algorithms. The major advantage of OTCA in MPPT stems from its speed as compared to TCA and FPA, with almost 86% and 90% improvement, respectively.

Suggested Citation

  • Muhammad Mateen Afzal Awan & Muhammad Yaqoob Javed & Aamer Bilal Asghar & Krzysztof Ejsmont, 2022. "Performance Optimization of a Ten Check MPPT Algorithm for an Off-Grid Solar Photovoltaic System," Energies, MDPI, vol. 15(6), pages 1-31, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2104-:d:770364
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    References listed on IDEAS

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    1. Anjan Debnath & Temitayo O. Olowu & Imtiaz Parvez & Md Golam Dastgir & Arif Sarwat, 2020. "A Novel Module Independent Straight Line-Based Fast Maximum Power Point Tracking Algorithm for Photovoltaic Systems," Energies, MDPI, vol. 13(12), pages 1-15, June.
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    Cited by:

    1. Yang Meng & Zunliang Chen & Hui Cheng & Enpu Wang & Baohua Tan, 2023. "An Efficient Variable Step Solar Maximum Power Point Tracking Algorithm," Energies, MDPI, vol. 16(3), pages 1-20, January.
    2. Muhammad Mateen Afzal Awan & Aamer Bilal Asghar & Muhammad Yaqoob Javed & Zsolt Conka, 2023. "Ordering Technique for the Maximum Power Point Tracking of an Islanded Solar Photovoltaic System," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    3. Sajid Sarwar & Muhammad Yaqoob Javed & Mujtaba Hussain Jaffery & Muhammad Saqib Ashraf & Muhammad Talha Naveed & Muhammad Annas Hafeez, 2022. "Modular Level Power Electronics (MLPE) Based Distributed PV System for Partial Shaded Conditions," Energies, MDPI, vol. 15(13), pages 1-39, June.

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