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Fuzzy-Logic-Based Comparative Analysis of Different Maximum Power Point Tracking Controllers for Hybrid Renewal Energy Systems

Author

Listed:
  • Mohammad Junaid Khan

    (Department of Electrical and Electronics Engineering, Mewat Engineering College, Nuh, Mewat 122107, India)

  • Lini Mathew

    (Department of Electrical Engineering, National Institute of Technical Teachers Training Research, Chandigarh 160019, India)

  • Majed A. Alotaibi

    (Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh 114211, Saudi Arabia)

  • Hasmat Malik

    (BEARS, University Town, National University of Singapore (NUS) Campus, Singapore 138602, Singapore)

  • Mohammed E. Nassar

    (Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada)

Abstract

There is an increasing demand for power production day by day all over the globe; thus, hybrid frameworks have an essential role in producing sufficient power for the desirable load due to increasing power demand. The proposed hybrid renewable energy (HRE) systems are used to provide power in different areas to conquer the intermittence of wind and solar resources. The HRE system incorporates more than one renewable energy (RE) system. In this research article, the optimum power generation of different combinations of RE using different Maximum Power Point Tracking (MPPT) control methods is presented. The Fuel Cell (FC), FC–Photovoltaic (PV), FC–Wind (W), and FC–PV–W systems are developed to examine different MPPT controllers. The results show that the FC–PV–W HRE system produces the maximum power as compared to the FC, FC–PV, and FC–W systems. The FC–PV–W HRE system produces increased power compared to 94.24% from the FC system, 37.17% from the FC–PV hybrid system, and 15.8% from the FC–W hybrid framework with a Perturb and Observe (P&O) controller and, similarly, 74.57% from the FC system, 10.3% from the FC-PV hybrid system, and 31.64% from the FC-W hybrid system using a fuzzy logic (FL) controller, indicating that the best combination is the FC-PV-W hybrid system using an FL controller, which is useful for maximum power generation with reduced oscillations.

Suggested Citation

  • Mohammad Junaid Khan & Lini Mathew & Majed A. Alotaibi & Hasmat Malik & Mohammed E. Nassar, 2022. "Fuzzy-Logic-Based Comparative Analysis of Different Maximum Power Point Tracking Controllers for Hybrid Renewal Energy Systems," Mathematics, MDPI, vol. 10(3), pages 1-28, February.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:3:p:529-:d:744373
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    References listed on IDEAS

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    2. Tarkeshwar Mahto & Rakesh Kumar & Hasmat Malik & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Fractional Order Fuzzy Based Virtual Inertia Controller Design for Frequency Stability in Isolated Hybrid Power Systems," Energies, MDPI, vol. 14(6), pages 1-21, March.
    3. Salvatore Foti & Antonio Testa & Salvatore De Caro & Luigi Danilo Tornello & Giacomo Scelba & Mario Cacciato, 2021. "Multi-Level Multi-Input Converter for Hybrid Renewable Energy Generators," Energies, MDPI, vol. 14(6), pages 1-19, March.
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    2. Fayza S. Mahmoud & Ashraf M. Abdelhamid & Ameena Al Sumaiti & Abou-Hashema M. El-Sayed & Ahmed A. Zaki Diab, 2022. "Sizing and Design of a PV-Wind-Fuel Cell Storage System Integrated into a Grid Considering the Uncertainty of Load Demand Using the Marine Predators Algorithm," Mathematics, MDPI, vol. 10(19), pages 1-26, October.
    3. Djamila Rekioua & Toufik Rekioua & Ahmed Elsanabary & Saad Mekhilef, 2023. "Power Management Control of an Autonomous Photovoltaic/Wind Turbine/Battery System," Energies, MDPI, vol. 16(5), pages 1-24, February.

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