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Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems

Author

Listed:
  • Haidar Islam

    (Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Saad Mekhilef

    (Power Electronics and Renewable Energy Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Noraisyah Binti Mohamed Shah

    (Department of Electrical, Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Tey Kok Soon

    (Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Mehdi Seyedmahmousian

    (School of Engineering, Deakin University, Waurn Ponds, Victoria 3216, Australia)

  • Ben Horan

    (School of Engineering, Deakin University, Waurn Ponds, Victoria 3216, Australia)

  • Alex Stojcevski

    (School of Engineering, Deakin University, Waurn Ponds, Victoria 3216, Australia)

Abstract

This paper elaborates a comprehensive overview of a photovoltaic (PV) system model, and compares the attributes of various conventional and improved incremental conductance algorithms, perturbation and observation techniques, and other maximum power point tracking (MPPT) algorithms in normal and partial shading conditions. Performance evaluation techniques are discussed on the basis of the dynamic parameters of the PV system. Following a discussion of the MPPT algorithms in each category, a table is drawn to summarize their key specifications. In the performance evaluation section, the appropriate PV module technologies, atmospheric effects on PV panels, design complexity, and number of sensors and internal parameters of the PV system are outlined. In the last phase, a comparative table presents performance-evaluating parameters of MPPT design criterion. This paper is organized in such a way that future researchers and engineers can select an appropriate MPPT scheme without complication.

Suggested Citation

  • Haidar Islam & Saad Mekhilef & Noraisyah Binti Mohamed Shah & Tey Kok Soon & Mehdi Seyedmahmousian & Ben Horan & Alex Stojcevski, 2018. "Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems," Energies, MDPI, vol. 11(2), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:365-:d:130193
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    References listed on IDEAS

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