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Ordering Technique for the Maximum Power Point Tracking of an Islanded Solar Photovoltaic System

Author

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  • Muhammad Mateen Afzal Awan

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

  • Aamer Bilal Asghar

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

  • Muhammad Yaqoob Javed

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

  • Zsolt Conka

    (Faculty of Electrical Engineering and Informatics, Department of Electric Power Engineering, Technical University of Kosice, 040 01 Kosice, Slovakia)

Abstract

The world’s attention has turned towards renewable energy due to escalating energy demands, declining fossil fuel reservoirs, greenhouse gas emissions, and the unreliability of conventional energy systems. The sun is the only renewable energy source that is available every day for a specific period of time. Solar photovoltaic (PV) technology is known for its direct conversion of sunlight into electricity using the photoelectric effect. However, due to the non-linear electrical characteristics, the power output of solar PV cells is bound to a lower value and can not produce the power of which it is capable. To extract the maximum possible power, the PV cell needs to be operated at its maximum power point (MPP) uninterruptedly under numerous weather conditions. Therefore, an electronic circuit driven by a set of rules known as an algorithm is utilized. To date, the flower pollination algorithm (FPA) is one of the most renowned maximum power point tracking (MPPT) algorithms due to its effective tracking ability at the local and global positions. After an in-depth analysis of the design, strengths, weaknesses, and opportunities of the FPA algorithm, we have proposed an additional filtration and distribution process named “Random walk” along with the ordering of solutions, to improve its efficiency and tracking time. The proposed structure named “Ordered FPA” has outperformed the renowned FPA algorithm under various weather conditions at all the standard benchmarks. Simulations are performed in MATLAB/Simulink.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3332-:d:1065349
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    References listed on IDEAS

    as
    1. Muhammad Mateen Afzal Awan & Muhammad Yaqoob Javed & Aamer Bilal Asghar & Krzysztof Ejsmont & Zia-ur-Rehman, 2022. "Economic Integration of Renewable and Conventional Power Sources—A Case Study," Energies, MDPI, vol. 15(6), pages 1-20, March.
    2. Peng Zhang & Huibin Sui, 2020. "Maximum Power Point Tracking Technology of Photovoltaic Array under Partial Shading Based On Adaptive Improved Differential Evolution Algorithm," Energies, MDPI, vol. 13(5), pages 1-15, March.
    3. 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.
    4. Abhishek Sharma & Abhinav Sharma & Vibhu Jately & Moshe Averbukh & Shailendra Rajput & Brian Azzopardi, 2022. "A Novel TSA-PSO Based Hybrid Algorithm for GMPP Tracking under Partial Shading Conditions," Energies, MDPI, vol. 15(9), pages 1-21, April.
    5. 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.
    6. Adeel Feroz Mirza & Majad Mansoor & Qiang Ling & Muhammad Imran Khan & Omar M. Aldossary, 2020. "Advanced Variable Step Size Incremental Conductance MPPT for a Standalone PV System Utilizing a GA-Tuned PID Controller," Energies, MDPI, vol. 13(16), pages 1-25, August.
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