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Shading mitigation techniques: State-of-the-art in photovoltaic applications

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  • Das, Soubhagya K.
  • Verma, Deepak
  • Nema, Savita
  • Nema, R.K.

Abstract

The Photovoltaic (PV) systems are gaining popularity for both standalone and grid connected applications. These systems offer benefits of being static, modular, environmental friendly; and converts light from the Sun, which is perennial source of clean and green energy. The energy conversion in PV system is although instantaneous, yet less efficient because of optical and electrical losses. The optical loss caused by partial shading reduces a PV system output greatly, if not properly mitigated. The shading mitigation techniques are therefore an integral part of power conditioning unit of all large PV systems. These mitigation techniques ensure global peak operation of PV plant under undesirable condition of partial shading. Multitudes of such mitigation techniques are available in literature; though each one of them exhibits some vulnerability. This paper therefore intends to present state-of-art in existing shading mitigation techniques. The review presents rationale behind the reported techniques and compares them on some common parameters of control strategy, granularity, accuracy, tracking speed, complexity, efficiency and number of sensors employed. This comprehensive review on shading mitigation techniques would certainly help researcher to select appropriate MPPT techniques for a given PV application.

Suggested Citation

  • Das, Soubhagya K. & Verma, Deepak & Nema, Savita & Nema, R.K., 2017. "Shading mitigation techniques: State-of-the-art in photovoltaic applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 369-390.
  • Handle: RePEc:eee:rensus:v:78:y:2017:i:c:p:369-390
    DOI: 10.1016/j.rser.2017.04.093
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    Cited by:

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    2. Rezk, Hegazy & AL-Oran, Mazen & Gomaa, Mohamed R. & Tolba, Mohamed A. & Fathy, Ahmed & Abdelkareem, Mohammad Ali & Olabi, A.G. & El-Sayed, Abou Hashema M., 2019. "A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    3. Zheng Li & Jiping Lu & Ya Zhu & Wang Jiang, 2017. "Ground-Fault Characteristic Analysis of Grid-Connected Photovoltaic Stations with Neutral Grounding Resistance," Energies, MDPI, vol. 10(11), pages 1-18, November.
    4. Kostas Sinapis & Konstantinos Tsatsakis & Maarten Dörenkämper & Wilfried G. J. H. M. van Sark, 2021. "Evaluation and Analysis of Selective Deployment of Power Optimizers for Residential PV Systems," Energies, MDPI, vol. 14(4), pages 1-15, February.
    5. John Emmanuel Ogbeba & Ercan Hoskara, 2019. "The Evaluation of Single-Family Detached Housing Units in terms of Integrated Photovoltaic Shading Devices: The Case of Northern Cyprus," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    6. Refaat, Ahmed & Osman, Mohamed Hassan & Korovkin, Nikolay V., 2020. "Current collector optimizer topology to extract maximum power from non-uniform aged PV array," Energy, Elsevier, vol. 195(C).
    7. Teo, J.C. & Tan, Rodney H.G. & Mok, V.H. & Ramachandaramurthy, Vigna K. & Tan, ChiaKwang, 2020. "Impact of bypass diode forward voltage on maximum power of a photovoltaic system under partial shading conditions," Energy, Elsevier, vol. 191(C).
    8. Carlos Andres Ramos-Paja & Daniel Gonzalez Montoya & Juan David Bastidas-Rodriguez, 2018. "Sliding-Mode Control of Distributed Maximum Power Point Tracking Converters Featuring Overvoltage Protection," Energies, MDPI, vol. 11(9), pages 1-40, August.
    9. Tiago Alves & João Paulo N. Torres & Ricardo A. Marques Lameirinhas & Carlos A. F. Fernandes, 2021. "Different Techniques to Mitigate Partial Shading in Photovoltaic Panels," Energies, MDPI, vol. 14(13), pages 1-25, June.

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