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Positioning of PV panels for reduction in line losses and mismatch losses in PV array

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  • Potnuru, Srinivasa Rao
  • Pattabiraman, Dinesh
  • Ganesan, Saravana Ilango
  • Chilakapati, Nagamani

Abstract

Partial shading decreases the power output of PV arrays due to mismatch losses. These losses are dependent on the shading pattern and the relative positions of shaded modules in the array. Various static and dynamic reconfiguration techniques have earlier been proposed to mitigate these losses. In an earlier proposed static reconfiguration technique, the power generation is enhanced by altering the physical location of the PV panels using a random Sudoku configuration without modifying the TCT (Total-Cross-Tied) based electrical connections. However, this arrangement faces drawbacks due to ineffective dispersion of shade and significant increase in wiring required. In this work, an optimal Sudoku arrangement to overcome these drawbacks is formulated. Further analysis indicate that the global peak of the optimal Sudoku based PV array occurs as the right most peak in the curve for most shading conditions, thus evidently obviating the need for complex MPPT (Maximum-Power-Point-Tracking) algorithms. The proposed configuration is compared with various other existing reconfiguration schemes in terms of power output and the comparison is presented. In addition, a general formulation is proposed to expand this pattern to any generic array. A strategy is also proposed to make such an interconnection practicable for very large size PV arrays.

Suggested Citation

  • Potnuru, Srinivasa Rao & Pattabiraman, Dinesh & Ganesan, Saravana Ilango & Chilakapati, Nagamani, 2015. "Positioning of PV panels for reduction in line losses and mismatch losses in PV array," Renewable Energy, Elsevier, vol. 78(C), pages 264-275.
  • Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:264-275
    DOI: 10.1016/j.renene.2014.12.055
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    Cited by:

    1. Sai Krishna, G. & Moger, Tukaram, 2019. "Improved SuDoKu reconfiguration technique for total-cross-tied PV array to enhance maximum power under partial shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 333-348.
    2. Ko, Suk Whan & Ju, Young Chul & Hwang, Hye Mi & So, Jung Hun & Jung, Young-Seok & Song, Hyung-Jun & Song, Hee-eun & Kim, Soo-Hyun & Kang, Gi Hwan, 2017. "Electric and thermal characteristics of photovoltaic modules under partial shading and with a damaged bypass diode," Energy, Elsevier, vol. 128(C), pages 232-243.
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    7. Mehedi, I.M. & Salam, Z. & Ramli, M.Z. & Chin, V.J. & Bassi, H. & Rawa, M.J.H. & Abdullah, M.P., 2021. "Critical evaluation and review of partial shading mitigation methods for grid-connected PV system using hardware solutions: The module-level and array-level approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    8. Astitva Kumar & Mohammad Rizwan & Uma Nangia & Muhannad Alaraj, 2021. "Grey Wolf Optimizer-Based Array Reconfiguration to Enhance Power Production from Solar Photovoltaic Plants under Different Scenarios," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    9. Kandemir, Ekrem & Cetin, Numan S. & Borekci, Selim, 2017. "A comprehensive overview of maximum power extraction methods for PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 93-112.
    10. Giuseppe Schettino & Filippo Pellitteri & Guido Ala & Rosario Miceli & Pietro Romano & Fabio Viola, 2020. "Dynamic Reconfiguration Systems for PV Plant: Technical and Economic Analysis," Energies, MDPI, vol. 13(8), pages 1-21, April.
    11. Malathy, S. & Ramaprabha, R., 2018. "Reconfiguration strategies to extract maximum power from photovoltaic array under partially shaded conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2922-2934.
    12. Yadav, Anurag Singh & Mukherjee, V., 2021. "Conventional and advanced PV array configurations to extract maximum power under partial shading conditions: A review," Renewable Energy, Elsevier, vol. 178(C), pages 977-1005.
    13. Bana, Sangram & Saini, R.P., 2017. "Experimental investigation on power output of different photovoltaic array configurations under uniform and partial shading scenarios," Energy, Elsevier, vol. 127(C), pages 438-453.
    14. Satpathy, Priya Ranjan & Sharma, Renu & Dash, Sambit, 2019. "An efficient SD-PAR technique for maximum power generation from modules of partially shaded PV arrays," Energy, Elsevier, vol. 175(C), pages 182-194.
    15. Sai Krishna, G. & Moger, Tukaram, 2021. "A novel adaptive dynamic photovoltaic reconfiguration system to mitigate mismatch effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    16. Sandra Aragon-Aviles & Arvind H. Kadam & Tarlochan Sidhu & Sheldon S. Williamson, 2022. "Modeling, Analysis, Design, and Simulation of a Bidirectional DC-DC Converter with Integrated Snow Removal Functionality for Solar PV Electric Vehicle Charger Applications," Energies, MDPI, vol. 15(8), pages 1-20, April.
    17. Dhimish, Mahmoud & Holmes, Violeta & Mehrdadi, Bruce & Dales, Mark & Chong, Benjamin & Zhang, Li, 2017. "Seven indicators variations for multiple PV array configurations under partial shading and faulty PV conditions," Renewable Energy, Elsevier, vol. 113(C), pages 438-460.
    18. Yadav, Anurag Singh & Mukherjee, V., 2022. "Comprehensive investigation of various bypass diode associations for killer-SuDoKu PV array under several shading conditions," Energy, Elsevier, vol. 239(PB).
    19. Chine, W. & Mellit, A. & Lughi, V. & Malek, A. & Sulligoi, G. & Massi Pavan, A., 2016. "A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks," Renewable Energy, Elsevier, vol. 90(C), pages 501-512.
    20. Belhaouas, N. & Cheikh, M.-S. Ait & Agathoklis, P. & Oularbi, M.-R. & Amrouche, B. & Sedraoui, K. & Djilali, N., 2017. "PV array power output maximization under partial shading using new shifted PV array arrangements," Applied Energy, Elsevier, vol. 187(C), pages 326-337.
    21. Krishna, G.Sai & Moger, Tukaram, 2019. "Enhancement of maximum power output through reconfiguration techniques under non-uniform irradiance conditions," Energy, Elsevier, vol. 187(C).
    22. Dhimish, Mahmoud & Holmes, Violeta & Dales, Mark, 2017. "Parallel fault detection algorithm for grid-connected photovoltaic plants," Renewable Energy, Elsevier, vol. 113(C), pages 94-111.
    23. Harrou, Fouzi & Sun, Ying & Taghezouit, Bilal & Saidi, Ahmed & Hamlati, Mohamed-Elkarim, 2018. "Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches," Renewable Energy, Elsevier, vol. 116(PA), pages 22-37.

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