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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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    1. Hasan, M.A. & Parida, S.K., 2016. "An overview of solar photovoltaic panel modeling based on analytical and experimental viewpoint," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 75-83.
    2. Jiang, Lian Lian & Nayanasiri, D.R. & Maskell, Douglas L. & Vilathgamuwa, D.M., 2015. "A hybrid maximum power point tracking for partially shaded photovoltaic systems in the tropics," Renewable Energy, Elsevier, vol. 76(C), pages 53-65.
    3. Myong, Seung Yeop & Park, You-Chul & Jeon, Sang Won, 2015. "Performance of Si-based PV rooftop systems operated under distinct four seasons," Renewable Energy, Elsevier, vol. 81(C), pages 482-489.
    4. Kahoul, Nabil & Chenni, Rachid & Cheghib, Hocine & Mekhilef, Saad, 2017. "Evaluating the reliability of crystalline silicon photovoltaic modules in harsh environment," Renewable Energy, Elsevier, vol. 109(C), pages 66-72.
    5. Obi, Manasseh & Bass, Robert, 2016. "Trends and challenges of grid-connected photovoltaic systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1082-1094.
    6. Harrag, Abdelghani & Messalti, Sabir, 2015. "Variable step size modified P&O MPPT algorithm using GA-based hybrid offline/online PID controller," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1247-1260.
    7. Darwish, Zeki Ahmed & Kazem, Hussein A. & Sopian, K. & Al-Goul, M.A. & Alawadhi, Hussain, 2015. "Effect of dust pollutant type on photovoltaic performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 735-744.
    8. Roy, Apratim & Kabir, Md. Ashfanoor, 2012. "Relative life cycle economic analysis of stand-alone solar PV and fossil fuel powered systems in Bangladesh with regard to load demand and market controlling factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4629-4637.
    9. Hartner, Michael & Ortner, André & Hiesl, Albert & Haas, Reinhard, 2015. "East to west – The optimal tilt angle and orientation of photovoltaic panels from an electricity system perspective," Applied Energy, Elsevier, vol. 160(C), pages 94-107.
    10. Messalti, Sabir & Harrag, Abdelghani & Loukriz, Abdelhamid, 2017. "A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 221-233.
    11. Bendib, Boualem & Belmili, Hocine & Krim, Fateh, 2015. "A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 637-648.
    12. Farhat, Maissa & Barambones, Oscar & Sbita, Lassaâd, 2015. "Efficiency optimization of a DSP-based standalone PV system using a stable single input fuzzy logic controller," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 907-920.
    13. Sivakumar, P. & Abdul Kader, Abdullah & Kaliavaradhan, Yogeshraj & Arutchelvi, M., 2015. "Analysis and enhancement of PV efficiency with incremental conductance MPPT technique under non-linear loading conditions," Renewable Energy, Elsevier, vol. 81(C), pages 543-550.
    14. Eldin, S.A. Sharaf & Abd-Elhady, M.S. & Kandil, H.A., 2016. "Feasibility of solar tracking systems for PV panels in hot and cold regions," Renewable Energy, Elsevier, vol. 85(C), pages 228-233.
    15. Seyedmahmoudian, M. & Horan, B. & Soon, T. Kok & Rahmani, R. & Than Oo, A. Muang & Mekhilef, S. & Stojcevski, A., 2016. "State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 435-455.
    16. Verma, Deepak & Nema, Savita & Shandilya, A.M. & Dash, Soubhagya K., 2016. "Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1018-1034.
    17. Saidan, Motasem & Albaali, Abdul Ghani & Alasis, Emil & Kaldellis, John K., 2016. "Experimental study on the effect of dust deposition on solar photovoltaic panels in desert environment," Renewable Energy, Elsevier, vol. 92(C), pages 499-505.
    18. Chellaswamy, C. & Ramesh, R., 2016. "Parameter extraction of solar cell models based on adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 97(C), pages 823-837.
    19. Maghami, Mohammad Reza & Hizam, Hashim & Gomes, Chandima & Radzi, Mohd Amran & Rezadad, Mohammad Ismael & Hajighorbani, Shahrooz, 2016. "Power loss due to soiling on solar panel: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1307-1316.
    20. Hasan, Rasedul & Mekhilef, Saad & Seyedmahmoudian, Mehdi & Horan, Ben, 2017. "Grid-connected isolated PV microinverters: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1065-1080.
    21. Karami, Nabil & Moubayed, Nazih & Outbib, Rachid, 2017. "General review and classification of different MPPT Techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 1-18.
    22. Bianchini, Augusto & Gambuti, Michele & Pellegrini, Marco & Saccani, Cesare, 2016. "Performance analysis and economic assessment of different photovoltaic technologies based on experimental measurements," Renewable Energy, Elsevier, vol. 85(C), pages 1-11.
    23. Visa, Ion & Burduhos, Bogdan & Neagoe, Mircea & Moldovan, Macedon & Duta, Anca, 2016. "Comparative analysis of the infield response of five types of photovoltaic modules," Renewable Energy, Elsevier, vol. 95(C), pages 178-190.
    24. Eduard Cubi & Nicholas F. Zibin & Sarah J. Thompson & Joule Bergerson, 2016. "Sustainability of Rooftop Technologies in Cold Climates: Comparative Life Cycle Assessment of White Roofs, Green Roofs, and Photovoltaic Panels," Journal of Industrial Ecology, Yale University, vol. 20(2), pages 249-262, April.
    25. Wang, Yaw-Juen & Hsu, Po-Chun, 2011. "An investigation on partial shading of PV modules with different connection configurations of PV cells," Energy, Elsevier, vol. 36(5), pages 3069-3078.
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