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Comparative and comprehensive review of maximum power point tracking methods for PV cells

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  • Danandeh, M.A.
  • Mousavi G., S.M.

Abstract

The energy problem is one of the most important and serious problems that humanity is faced with it and this is while the fossil fuels are running out, so finding new sources of energy is one of the challenges of modern man. Solar energy is an available, newable and almost eternal energy which can be converted directly to electrical energy by photovoltaic (PV) cells. Although the use of sunlight costs nothing but PV cells are relatively expensive so it's necessary to extract maximum power from these cells because of economic reasons. To achieve the maximum power point, there are many techniques and also many review papers but just few papers have compared these techniques from economical and technical point of view. This paper presents a review of MPPT techniques using of comprehensive and relatively new classification with emphasizing on comparison of methods.

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  • Danandeh, M.A. & Mousavi G., S.M., 2018. "Comparative and comprehensive review of maximum power point tracking methods for PV cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2743-2767.
  • Handle: RePEc:eee:rensus:v:82:y:2018:i:p3:p:2743-2767
    DOI: 10.1016/j.rser.2017.10.009
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    References listed on IDEAS

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    Cited by:

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    6. Shahzad Ahmed & Hafiz Mian Muhammad Adil & Iftikhar Ahmad & Muhammad Kashif Azeem & Zil e Huma & Safdar Abbas Khan, 2020. "Supertwisting Sliding Mode Algorithm Based Nonlinear MPPT Control for a Solar PV System with Artificial Neural Networks Based Reference Generation," Energies, MDPI, vol. 13(14), pages 1-24, July.
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    9. Shaowu Li & Kunyi Chen & Qin Li & Qing Ai, 2022. "A Variable-Weather-Parameter MPPT Method Based on Equation Solution for Photovoltaic System with DC Bus," Energies, MDPI, vol. 15(18), pages 1-25, September.
    10. Gang Zhang & Zhongbei Tian & Huiqing Du & Zhigang Liu, 2018. "A Novel Hybrid DC Traction Power Supply System Integrating PV and Reversible Converters," Energies, MDPI, vol. 11(7), pages 1-24, June.
    11. Hsen Abidi & Lilia Sidhom & Ines Chihi, 2023. "Systematic Literature Review and Benchmarking for Photovoltaic MPPT Techniques," Energies, MDPI, vol. 16(8), pages 1-45, April.
    12. Esteban Guerrero-Ramirez & Alberto Martinez-Barbosa & Marco Antonio Contreras-Ordaz & Gerardo Guerrero-Ramirez & Enrique Guzman-Ramirez & Jorge Luis Barahona-Avalos & Manuel Adam-Medina, 2022. "DC Motor Drive Powered by Solar Photovoltaic Energy: An FPGA-Based Active Disturbance Rejection Control Approach," Energies, MDPI, vol. 15(18), pages 1-36, September.
    13. Subramanian Vasantharaj & Vairavasundaram Indragandhi & Vairavasundaram Subramaniyaswamy & Yuvaraja Teekaraman & Ramya Kuppusamy & Srete Nikolovski, 2021. "Efficient Control of DC Microgrid with Hybrid PV—Fuel Cell and Energy Storage Systems," Energies, MDPI, vol. 14(11), pages 1-18, June.
    14. Yinxiao Zhu & Moon Keun Kim & Huiqing Wen, 2018. "Simulation and Analysis of Perturbation and Observation-Based Self-Adaptable Step Size Maximum Power Point Tracking Strategy with Low Power Loss for Photovoltaics," Energies, MDPI, vol. 12(1), pages 1-20, December.
    15. Eyal Amer & Alon Kuperman & Teuvo Suntio, 2019. "Direct Fixed-Step Maximum Power Point Tracking Algorithms with Adaptive Perturbation Frequency," Energies, MDPI, vol. 12(3), pages 1-16, January.
    16. Yu-Pei Huang & Cheng-En Ye & Xiang Chen, 2018. "A Modified Firefly Algorithm with Rapid Response Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions," Energies, MDPI, vol. 11(9), pages 1-33, August.
    17. Ali Abedaljabar Al-Samawi & Hafedh Trabelsi, 2022. "New Nine-Level Cascade Multilevel Inverter with a Minimum Number of Switches for PV Systems," Energies, MDPI, vol. 15(16), pages 1-25, August.
    18. Eduardo Manuel Godinho Rodrigues & Radu Godina & Mousa Marzband & Edris Pouresmaeil, 2018. "Simulation and Comparison of Mathematical Models of PV Cells with Growing Levels of Complexity," Energies, MDPI, vol. 11(11), pages 1-21, October.
    19. Victor Andrean & Pei Cheng Chang & Kuo Lung Lian, 2018. "A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Int," Energies, MDPI, vol. 11(11), pages 1-25, November.
    20. Diogo Cabral & Abolfazl Hayati & João Gomes & Hossein Afzali Gorouh & Pouriya Nasseriyan & Mazyar Salmanzadeh, 2023. "Experimental Electrical Assessment Evaluation of a Vertical n-PERT Half-Size Bifacial Solar Cell String Receiver on a Parabolic Trough Solar Collector," Energies, MDPI, vol. 16(4), pages 1-21, February.
    21. Ma, Liuyang & Zhao, Qin & Zhang, Houcheng & Hou, Shujin & Zhao, Jiapei & Wang, Fu & Zhang, Chunfei & Miao, He & Yuan, Jinliang, 2022. "Performance analysis of a concentrated photovoltaic cell-elastocaloric cooler hybrid system for power and cooling cogeneration," Energy, Elsevier, vol. 239(PD).

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