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Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String

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  • J. C. Teo

    (Faculty of Engineering, Technology & Built Environment, UCSI University No. 1, Jalan Menara Gading, Kuala Lumpur 56000, Malaysia)

  • Rodney H. G. Tan

    (Faculty of Engineering, Technology & Built Environment, UCSI University No. 1, Jalan Menara Gading, Kuala Lumpur 56000, Malaysia)

  • V. H. Mok

    (Faculty of Engineering, Technology & Built Environment, UCSI University No. 1, Jalan Menara Gading, Kuala Lumpur 56000, Malaysia)

  • Vigna K. Ramachandaramurthy

    (Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga Nasional, 43000 Kajang, Malaysia)

  • ChiaKwang Tan

    (UM Power Energy Dedicated Advanced Centre, University of Malaya, Jalan Pantai Baharu, Kuala Lumpur 59990, Malaysia)

Abstract

A photovoltaic system is highly susceptible to partial shading. Based on the functionality of a photovoltaic system that relies on solar irradiance to generate electrical power, it is tacitly assumed that the maximum power of a partially shaded photovoltaic system always decreases as the shading heaviness increases. However, the literature has reported that this might not be the case. The maximum power of a partially shaded photovoltaic system under a fixed configuration and partial shading pattern can be highly insusceptible to shading heaviness when a certain critical point is met. This paper presents an investigation of the impact of partial shading and the critical point that reduce the susceptibility of shading heaviness. Photovoltaic string formed by series-connected photovoltaic modules is used in this research. The investigation of the P-V characteristic curve under different numbers of shaded modules and shading heaviness suggests that the photovoltaic string becomes insusceptible to shading heaviness when the shaded modules irradiance reaches a certain critical point. The critical point can vary based on the number of the shaded modules. The formulated equation in this research contributes to determining the critical point for different photovoltaic string sizes and numbers of shaded modules in the photovoltaic string.

Suggested Citation

  • J. C. Teo & Rodney H. G. Tan & V. H. Mok & Vigna K. Ramachandaramurthy & ChiaKwang Tan, 2018. "Impact of Partial Shading on the P-V Characteristics and the Maximum Power of a Photovoltaic String," Energies, MDPI, vol. 11(7), pages 1-22, July.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1860-:d:158301
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    Cited by:

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    3. Ali M. Eltamaly & Hassan M. H. Farh & Mamdooh S. Al Saud, 2019. "Impact of PSO Reinitialization on the Accuracy of Dynamic Global Maximum Power Detection of Variant Partially Shaded PV Systems," Sustainability, MDPI, vol. 11(7), pages 1-14, April.
    4. Martín Silva & Justo Jose Roberts & Pedro Osvaldo Prado, 2021. "Calculation of the Shading Factors for Solar Modules with MATLAB," Energies, MDPI, vol. 14(15), pages 1-23, August.
    5. Fonseca Alves, Ricardo Henrique & Deus Júnior, Getúlio Antero de & Marra, Enes Gonçalves & Lemos, Rodrigo Pinto, 2021. "Automatic fault classification in photovoltaic modules using Convolutional Neural Networks," Renewable Energy, Elsevier, vol. 179(C), pages 502-516.
    6. 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).
    7. Xiaoguang Liu & Yuefeng Wang, 2019. "Reconfiguration Method to Extract More Power from Partially Shaded Photovoltaic Arrays with Series-Parallel Topology," Energies, MDPI, vol. 12(8), pages 1-16, April.
    8. Wojciech Luboń & Grzegorz Pełka & Mirosław Janowski & Leszek Pająk & Michał Stefaniuk & Jarosław Kotyza & Paweł Reczek, 2020. "Assessing the Impact of Water Cooling on PV Modules Efficiency," Energies, MDPI, vol. 13(10), pages 1-13, May.
    9. Giovanni Cipriani & Antonino D’Amico & Stefania Guarino & Donatella Manno & Marzia Traverso & Vincenzo Di Dio, 2020. "Convolutional Neural Network for Dust and Hotspot Classification in PV Modules," Energies, MDPI, vol. 13(23), pages 1-17, December.
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    11. Szostok, Agnieszka & Stanek, Wojciech, 2022. "Thermo-ecological analysis - The comparison of collector and PV to PV/T system," Renewable Energy, Elsevier, vol. 200(C), pages 10-23.
    12. Alexander Abramovitz & Doron Shmilovitz, 2021. "Short Survey of Architectures of Photovoltaic Arrays for Solar Power Generation Systems," Energies, MDPI, vol. 14(16), pages 1-28, August.
    13. Kuei-Hsiang Chao & Muhammad Nursyam Rizal, 2021. "A Hybrid MPPT Controller Based on the Genetic Algorithm and Ant Colony Optimization for Photovoltaic Systems under Partially Shaded Conditions," Energies, MDPI, vol. 14(10), pages 1-17, May.
    14. 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.
    15. Noor Afeefah Nordin & Mohamed Nainar Mohamed Ansari & Saifuddin M. Nomanbhay & Nasri A. Hamid & Nadia M. L. Tan & Zainudin Yahya & Izhan Abdullah, 2021. "Integrating Photovoltaic (PV) Solar Cells and Supercapacitors for Sustainable Energy Devices: A Review," Energies, MDPI, vol. 14(21), pages 1-20, November.
    16. Manoharan Premkumar & Umashankar Subramaniam & Thanikanti Sudhakar Babu & Rajvikram Madurai Elavarasan & Lucian Mihet-Popa, 2020. "Evaluation of Mathematical Model to Characterize the Performance of Conventional and Hybrid PV Array Topologies under Static and Dynamic Shading Patterns," Energies, MDPI, vol. 13(12), pages 1-37, June.
    17. Ahmed Al Mansur & Md. Ruhul Amin & Kazi Khairul Islam, 2019. "Performance Comparison of Mismatch Power Loss Minimization Techniques in Series-Parallel PV Array Configurations," Energies, MDPI, vol. 12(5), pages 1-21, March.
    18. Jeisson Vélez-Sánchez & Juan David Bastidas-Rodríguez & Carlos Andrés Ramos-Paja & Daniel González Montoya & Luz Adriana Trejos-Grisales, 2019. "A Non-Invasive Procedure for Estimating the Exponential Model Parameters of Bypass Diodes in Photovoltaic Modules," Energies, MDPI, vol. 12(2), pages 1-20, January.

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