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A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller

Author

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  • Tehzeeb-ul Hassan

    (Department of Electrical Engineering, Punjab University, Lahore 54000, Pakistan)

  • Rabeh Abbassi

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Hail 1234, Saudi Arabia)

  • Houssem Jerbi

    (Department of Industrial Engineering, College of Engineering, University of Ha’il, Hail 1234, Saudi Arabia)

  • Kashif Mehmood

    (School of Electrical Engineering, Southeast University, Nanjing 210000, China
    Department of Electrical Engineering, The University of Lahore, Lahore 54000, Pakistan)

  • Muhammad Faizan Tahir

    (School of Electric Power, South China University of Technology, Guangzhou 510000, China)

  • Khalid Mehmood Cheema

    (School of Electrical Engineering, Southeast University, Nanjing 210000, China)

  • Rajvikram Madurai Elavarasan

    (Electrical and Automotive Parts Manufacturing Unit, AA Industries, Chennai 600123, India)

  • Farman Ali

    (Lahore University of Management Sciences, Lahore 54000, Pakistan)

  • Irfan Ahmad Khan

    (Marine Engineering Technology Department in a Joint Appointment with Electrical and Computer Engineering, Texas A&M University, Galveston, TX 77553, USA)

Abstract

Photovoltaic (PV) is a highly promising energy source because of its environment friendly property. However, there is an uncertainty present in the modeling of PV modules owing to varying irradiance and temperature. To solve such uncertainty, the fuzzy logic control-based intelligent maximum power point tracking (MPPT) method is observed to be more suitable as compared with conventional algorithms in PV systems. In this paper, an isolated PV system using a push pull converter with the fuzzy logic-based MPPT algorithm is presented. The proposed methodology optimizes the output power of PV modules and achieves isolation with high DC gain. The DC gain is inverted into a single phase AC through a closed loop fuzzy logic inverter with a low pass filter to reduce the total harmonic distortion (THD). Dynamic simulations are developed in Matlab/Simulink by MathWorks under linear loads. The results show that the fuzzy logic algorithms of the proposed system efficiently track the MPPT and present reduced THD.

Suggested Citation

  • Tehzeeb-ul Hassan & Rabeh Abbassi & Houssem Jerbi & Kashif Mehmood & Muhammad Faizan Tahir & Khalid Mehmood Cheema & Rajvikram Madurai Elavarasan & Farman Ali & Irfan Ahmad Khan, 2020. "A Novel Algorithm for MPPT of an Isolated PV System Using Push Pull Converter with Fuzzy Logic Controller," Energies, MDPI, vol. 13(15), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:4007-:d:393998
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    References listed on IDEAS

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    3. Sachin Kumar & Kumari Sarita & Akanksha Singh S Vardhan & Rajvikram Madurai Elavarasan & R. K. Saket & Narottam Das, 2020. "Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique," Energies, MDPI, vol. 13(21), pages 1-30, October.
    4. Tarek A. Boghdady & Yasmin E. Kotb & Abdullah Aljumah & Mahmoud M. Sayed, 2022. "Comparative Study of Optimal PV Array Configurations and MPPT under Partial Shading with Fast Dynamical Change of Hybrid Load," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
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    6. Kostas Bavarinos & Anastasios Dounis & Panagiotis Kofinas, 2021. "Maximum Power Point Tracking Based on Reinforcement Learning Using Evolutionary Optimization Algorithms," Energies, MDPI, vol. 14(2), pages 1-23, January.
    7. Ibrahim Al-Wesabi & Zhijian Fang & Hassan M. Hussein Farh & Abdullrahman A. Al-Shamma’a & Abdullah M. Al-Shaalan & Tarek Kandil & Min Ding, 2022. "Cuckoo Search Combined with PID Controller for Maximum Power Extraction of Partially Shaded Photovoltaic System," Energies, MDPI, vol. 15(7), pages 1-26, March.
    8. Ghulam Mustafa & Fiaz Ahmad, 2022. "Review on Performance Analysis of Three Control Techniques for Buck Converter feeding a Resistive Load," International Journal of Innovations in Science & Technology, 50sea, vol. 4(5), pages 39-51, June.
    9. Jianping Wang & Shiguang Xiao & Tao Song & Junqi Yue & Pingyan Bian & Yu Li, 2020. "Spatial Straight-Line Drawing Algorithm Based on Method of Discriminate Regions—A Control Algorithm of Motors," Energies, MDPI, vol. 13(19), pages 1-16, September.
    10. Waleed Al Abri & Rashid Al Abri & Hassan Yousef & Amer Al-Hinai, 2022. "A Maximum Power Point Tracker Using the Bald Eagle Search Technique for Grid-Connected Photovoltaic Systems," Energies, MDPI, vol. 15(23), pages 1-16, December.
    11. Alfredo Gil-Velasco & Carlos Aguilar-Castillo, 2021. "A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions," Energies, MDPI, vol. 14(9), pages 1-12, April.
    12. Fateh Mehazzem & Maina André & Rudy Calif, 2022. "Efficient Output Photovoltaic Power Prediction Based on MPPT Fuzzy Logic Technique and Solar Spatio-Temporal Forecasting Approach in a Tropical Insular Region," Energies, MDPI, vol. 15(22), pages 1-21, November.

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