IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v25y2013icp793-813.html
   My bibliography  Save this article

MPPT techniques for photovoltaic applications

Author

Listed:
  • Eltawil, Mohamed A.
  • Zhao, Zhengming

Abstract

The photovoltaic (PV) system is one of the renewable energies that attract the attention of researchers in the recent decades. The PV generators exhibit nonlinear I–V and P–V characteristics. The maximum power produced varies with both irradiance and temperature. Since the conversion efficiency of PV arrays is very low, it requires maximum power point tracking (MPPT) control techniques. The maximum power point tracking (MPPT) is the automatic control algorithm to adjust the power interfaces and achieve the greatest possible power harvest, during moment to moment variations of light level, shading, temperature, and photovoltaic module characteristics. The purpose of the MPPT is to adjust the solar operating voltage close to the MPP under changing atmospheric conditions. It has become an essential component to evaluate the design performance of PV power systems. This investigation aims to assess different MPPT techniques, provide background knowledge, implementation topology, grid interconnection of PV and solar microinverter requirements presented in the literature, doing depth comparisons between them with a brief discussion. The MPPT merits, demerits and classification, which can be used as a reference for future research related to optimizing the solar power generation, are also discussed. Conventional methods are easy to implement but they suffer from oscillations at MPP and tracking speed is less due to fixed perturb step. Intelligent methods are efficient; oscillations are lesser at MPP in steady state and tracked quickly in comparison to conventional methods.

Suggested Citation

  • Eltawil, Mohamed A. & Zhao, Zhengming, 2013. "MPPT techniques for photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 793-813.
    • Handle: RePEc:eee:rensus:v:25:y:2013:i:c:p:793-813
    DOI: 10.1016/j.rser.2013.05.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032113003250
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2013.05.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Parida, Bhubaneswari & Iniyan, S. & Goic, Ranko, 2011. "A review of solar photovoltaic technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1625-1636, April.
    2. Snyman, Danie B. & Enslin, Johan H.R., 1994. "Novel technique for improved power conversion efficiency in systems with battery back-up," Renewable Energy, Elsevier, vol. 4(3), pages 349-357.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Selin Kocaman, Ayse & Abad, Carlos & Troy, Tara J. & Tim Huh, Woonghee & Modi, Vijay, 2016. "A stochastic model for a macroscale hybrid renewable energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 688-703.
    2. Vivar, M. & H, Sharon & Fuentes, M., 2024. "Photovoltaic system adoption in water related technologies – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    3. Mahtta, Richa & Joshi, P.K. & Jindal, Alok Kumar, 2014. "Solar power potential mapping in India using remote sensing inputs and environmental parameters," Renewable Energy, Elsevier, vol. 71(C), pages 255-262.
    4. Kannan, Nadarajah & Vakeesan, Divagar, 2016. "Solar energy for future world: - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1092-1105.
    5. Xiao, Gang & Zheng, Guanghua & Ni, Dong & Li, Qiang & Qiu, Min & Ni, Mingjiang, 2018. "Thermodynamic assessment of solar photon-enhanced thermionic conversion," Applied Energy, Elsevier, vol. 223(C), pages 134-145.
    6. Rahman, Syed Masiur & Khondaker, A.N., 2012. "Mitigation measures to reduce greenhouse gas emissions and enhance carbon capture and storage in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2446-2460.
    7. Mehrabankhomartash, Mahmoud & Rayati, Mohammad & Sheikhi, Aras & Ranjbar, Ali Mohammad, 2017. "Practical battery size optimization of a PV system by considering individual customer damage function," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 36-50.
    8. Ulloa, Carlos & Nuñez, José M. & Lin, Chengxian & Rey, Guillermo, 2018. "AHP-based design method of a lightweight, portable and flexible air-based PV-T module for UAV shelter hangars," Renewable Energy, Elsevier, vol. 123(C), pages 767-780.
    9. 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.
    10. Laura Canale & Anna Rita Di Fazio & Mario Russo & Andrea Frattolillo & Marco Dell’Isola, 2021. "An Overview on Functional Integration of Hybrid Renewable Energy Systems in Multi-Energy Buildings," Energies, MDPI, vol. 14(4), pages 1-33, February.
    11. Rashwan, Sherif S. & Shaaban, Ahmed M. & Al-Suliman, Fahad, 2017. "A comparative study of a small-scale solar PV power plant in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 313-318.
    12. Gorjian, Shiva & Bousi, Erion & Özdemir, Özal Emre & Trommsdorff, Max & Kumar, Nallapaneni Manoj & Anand, Abhishek & Kant, Karunesh & Chopra, Shauhrat S., 2022. "Progress and challenges of crop production and electricity generation in agrivoltaic systems using semi-transparent photovoltaic technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    13. Wu, Jinshun & Zhang, Xingxing & Shen, Jingchun & Wu, Yupeng & Connelly, Karen & Yang, Tong & Tang, Llewellyn & Xiao, Manxuan & Wei, Yixuan & Jiang, Ke & Chen, Chao & Xu, Peng & Wang, Hong, 2017. "A review of thermal absorbers and their integration methods for the combined solar photovoltaic/thermal (PV/T) modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 839-854.
    14. Tie, Siang Fui & Tan, Chee Wei, 2013. "A review of energy sources and energy management system in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 82-102.
    15. Concettina Marino & Antonino Nucara & Maria Francesca Panzera & Matilde Pietrafesa & Alfredo Pudano, 2020. "Economic Comparison Between a Stand-Alone and a Grid Connected PV System vs. Grid Distance," Energies, MDPI, vol. 13(15), pages 1-22, July.
    16. Maddah, Hisham A. & Aryadwita, Lila & Berry, Vikas & Behura, Sanjay K., 2021. "Perovskite semiconductor-engineered cascaded molecular energy levels in naturally-sensitized photoanodes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    17. Abdin, Z. & Alim, M.A. & Saidur, R. & Islam, M.R. & Rashmi, W. & Mekhilef, S. & Wadi, A., 2013. "Solar energy harvesting with the application of nanotechnology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 837-852.
    18. Thopil, George Alex & Sachse, Christiaan Eddie & Lalk, Jörg & Thopil, Miriam Sara, 2020. "Techno-economic performance comparison of crystalline and thin film PV panels under varying meteorological conditions: A high solar resource southern hemisphere case," Applied Energy, Elsevier, vol. 275(C).
    19. Mohamed Abdel-Basset & Reda Mohamed & Ripon K. Chakrabortty & Michael J. Ryan & Attia El-Fergany, 2021. "An Improved Artificial Jellyfish Search Optimizer for Parameter Identification of Photovoltaic Models," Energies, MDPI, vol. 14(7), pages 1-33, March.
    20. Wu, Shaobing & Tang, Runsheng & Wang, Changmei, 2021. "Numerical calculation of the intercept factor for parabolic trough solar collector with secondary mirror," Energy, Elsevier, vol. 233(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:25:y:2013:i:c:p:793-813. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.