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An assessment of series resistance estimation techniques for different silicon based SPV modules

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  • Singh, Rashmi
  • Sharma, Madhu
  • Rawat, Rahul
  • Banerjee, Chandan

Abstract

The series resistance is a significant electrical parameter of the solar photovoltaic module and is used for outdoor performance modeling, evaluation and degradation studies. There are a number of methods available in the literature to estimate series resistance and it's necessary to aggregate the available literature. In this paper, a comprehensive literature survey has been carried out, comprising of more than 33 different methods. These methods have been broadly classified into four groups on the basis of different approaches for the estimation of series resistance, i.e. numerical; graphical; a combination of numerical and graphical; and advanced methods. Further, a case study has been undertaken for carrying out a comparative analysis of ten different methods of series resistance for three different technologies namely, hetero-junction intrinsic thin layer silicon, amorphous single junction silicon and multi-crystalline silicon. The series resistance of three different solar photovoltaic technologies has been estimated using nine different analytical methods as well as IEC 60891 Edi 2.0 procedure using the current-voltage characteristics measured at various ranges of irradiance and temperature during outdoor exposure. Furthermore, the effect of irradiance and temperature on the series resistance has also been evaluated. It has been found that the analytical model provides a more accurate estimation of series resistance for multi-crystalline silicon and the computational model number three is found to be more accurate as compared to the other analytical models.

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  • Singh, Rashmi & Sharma, Madhu & Rawat, Rahul & Banerjee, Chandan, 2018. "An assessment of series resistance estimation techniques for different silicon based SPV modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 199-216.
    • Handle: RePEc:eee:rensus:v:98:y:2018:i:c:p:199-216
    DOI: 10.1016/j.rser.2018.09.020
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    as
    1. 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.
    2. Rawat, Rahul & Singh, Ramayan & Sastry, O.S. & Kaushik, S.C., 2017. "Performance evaluation of micromorph based thin film photovoltaic modules in real operating conditions of composite climate," Energy, Elsevier, vol. 120(C), pages 537-548.
    3. Ciulla, Giuseppina & Lo Brano, Valerio & Di Dio, Vincenzo & Cipriani, Giovanni, 2014. "A comparison of different one-diode models for the representation of I–V characteristic of a PV cell," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 684-696.
    4. Stutenbaeumer, Ulrich & Mesfin, Belayneh, 1999. "Equivalent model of monocrystalline, polycrystalline and amorphous silicon solar cells," Renewable Energy, Elsevier, vol. 18(4), pages 501-512.
    5. Lim, Li Hong Idris & Ye, Zhen & Ye, Jiaying & Yang, Dazhi & Du, Hui, 2015. "A linear method to extract diode model parameters of solar panels from a single I–V curve," Renewable Energy, Elsevier, vol. 76(C), pages 135-142.
    6. de Blas, M.A & Torres, J.L & Prieto, E & Garcı́a, A, 2002. "Selecting a suitable model for characterizing photovoltaic devices," Renewable Energy, Elsevier, vol. 25(3), pages 371-380.
    7. Cotfas, D.T. & Cotfas, P.A. & Kaplanis, S., 2013. "Methods to determine the dc parameters of solar cells: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 588-596.
    8. Bashahu, M. & Habyarimana, A., 1995. "Review and test of methods for determination of the solar cell series resistance," Renewable Energy, Elsevier, vol. 6(2), pages 129-138.
    9. Garrido-Alzar, C.L., 1997. "Algorithm for extraction of solar cell parameters from I–V curve using double exponential model," Renewable Energy, Elsevier, vol. 10(2), pages 125-128.
    10. Debije, Michael G. & Tzikas, Chris & de Jong, Minne M. & Kanellis, Michalis & Slooff, Lenneke H., 2018. "The solar noise barrier project: 3. The effects of seasonal spectral variation, cloud cover and heat distribution on the performance of full-scale luminescent solar concentrator panels," Renewable Energy, Elsevier, vol. 116(PA), pages 335-343.
    11. Ghani, F. & Rosengarten, G. & Duke, M. & Carson, J.K., 2014. "The numerical calculation of single-diode solar-cell modelling parameters," Renewable Energy, Elsevier, vol. 72(C), pages 105-112.
    12. Sharma, Vikrant & Sastry, O.S. & Kumar, Arun & Bora, Birinchi & Chandel, S.S., 2014. "Degradation analysis of a-Si, (HIT) hetro-junction intrinsic thin layer silicon and m-C-Si solar photovoltaic technologies under outdoor conditions," Energy, Elsevier, vol. 72(C), pages 536-546.
    13. Danandeh, M.A. & Mousavi G., S.M., 2018. "Solar irradiance estimation models and optimum tilt angle approaches: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 319-330.
    14. Celik, Ali Naci & Acikgoz, NasIr, 2007. "Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models," Applied Energy, Elsevier, vol. 84(1), pages 1-15, January.
    15. Seigneur, Hubert & Mohajeri, Nahid & Brooker, R. Paul & Davis, Kristopher O. & Schneller, Eric J. & Dhere, Neelkanth G. & Rodgers, Marianne P. & Wohlgemuth, John & Shiradkar, Narendra S. & Scardera, G, 2016. "Manufacturing metrology for c-Si photovoltaic module reliability and durability, Part I: Feedstock, crystallization and wafering," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 84-106.
    16. Sahoo, Sarat Kumar, 2016. "Renewable and sustainable energy reviews solar photovoltaic energy progress in India: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 927-939.
    17. Javier Cubas & Santiago Pindado & Carlos De Manuel, 2014. "Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function," Energies, MDPI, vol. 7(7), pages 1-18, June.
    18. Mat Desa, M.K. & Sapeai, S. & Azhari, A.W. & Sopian, K. & Sulaiman, M.Y. & Amin, N. & Zaidi, S.H., 2016. "Silicon back contact solar cell configuration: A pathway towards higher efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1516-1532.
    19. van Dyk, E.E. & Meyer, E.L., 2004. "Analysis of the effect of parasitic resistances on the performance of photovoltaic modules," Renewable Energy, Elsevier, vol. 29(3), pages 333-344.
    20. Carrero, C. & Rodríguez, J. & Ramírez, D. & Platero, C., 2010. "Simple estimation of PV modules loss resistances for low error modelling," Renewable Energy, Elsevier, vol. 35(5), pages 1103-1108.
    21. Assadi, M.Khalaji & Bakhoda, S. & Saidur, R. & Hanaei, H., 2018. "Recent progress in perovskite solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2812-2822.
    22. Chenni, R. & Makhlouf, M. & Kerbache, T. & Bouzid, A., 2007. "A detailed modeling method for photovoltaic cells," Energy, Elsevier, vol. 32(9), pages 1724-1730.
    23. Silvestre, Santiago & Kichou, Sofiane & Chouder, Aissa & Nofuentes, Gustavo & Karatepe, Engin, 2015. "Analysis of current and voltage indicators in grid connected PV (photovoltaic) systems working in faulty and partial shading conditions," Energy, Elsevier, vol. 86(C), pages 42-50.
    24. Khan, Firoz & Baek, Seong-Ho & Kim, Jae Hyun, 2014. "Intensity dependency of photovoltaic cell parameters under high illumination conditions: An analysis," Applied Energy, Elsevier, vol. 133(C), pages 356-362.
    25. Khanna, Vandana & Das, B.K. & Bisht, Dinesh & Vandana, & Singh, P.K., 2015. "A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm," Renewable Energy, Elsevier, vol. 78(C), pages 105-113.
    26. Kiran, Engin & İnan, Demir, 1999. "Technical note An approximation to solar cell equation for determination of solar cell parameters," Renewable Energy, Elsevier, vol. 17(2), pages 235-241.
    27. Jordehi, A. Rezaee, 2016. "Parameter estimation of solar photovoltaic (PV) cells: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 354-371.
    28. AlHajri, M.F. & El-Naggar, K.M. & AlRashidi, M.R. & Al-Othman, A.K., 2012. "Optimal extraction of solar cell parameters using pattern search," Renewable Energy, Elsevier, vol. 44(C), pages 238-245.
    29. Khalid, Ahmad Mohd & Mitra, Indradip & Warmuth, Werner & Schacht, Volker, 2016. "Performance ratio – Crucial parameter for grid connected PV plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1139-1158.
    30. Yordanov, Georgi Hristov & Midtgård, Ole-Morten & Saetre, Tor Oskar, 2012. "Series resistance determination and further characterization of c-Si PV modules," Renewable Energy, Elsevier, vol. 46(C), pages 72-80.
    31. 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.
    32. Maghami, Mohammad Reza & Hizam, Hashim & Gomes, Chandima & Radzi, Mohd Amran & Rezadad, Mohammad Ismael & Hajighorbani, Shahrooz, 2016. "Power loss due to soiling on solar panel: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1307-1316.
    33. Kichou, Sofiane & Silvestre, Santiago & Nofuentes, Gustavo & Torres-Ramírez, Miguel & Chouder, Aissa & Guasch, Daniel, 2016. "Characterization of degradation and evaluation of model parameters of amorphous silicon photovoltaic modules under outdoor long term exposure," Energy, Elsevier, vol. 96(C), pages 231-241.
    34. Chin, Vun Jack & Salam, Zainal & Ishaque, Kashif, 2015. "Cell modelling and model parameters estimation techniques for photovoltaic simulator application: A review," Applied Energy, Elsevier, vol. 154(C), pages 500-519.
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    3. Piliougine, M. & Spagnuolo, G. & Sidrach-de-Cardona, M., 2020. "Series resistance temperature sensitivity in degraded mono–crystalline silicon modules," Renewable Energy, Elsevier, vol. 162(C), pages 677-684.
    4. Carrero, C. & Ramirez, D. & Rodríguez, J. & Castillo-Sierra, R., 2021. "Sensitivity analysis of loss resistances variations of PV generators applied to the assessment of maximum power point changes due to degradation," Renewable Energy, Elsevier, vol. 173(C), pages 351-361.
    5. Singh, Rashmi & Sharma, Madhu & Rawat, Rahul & Banerjee, Chandan, 2020. "Field Analysis of three different silicon-based Technologies in Composite Climate Condition – Part II – Seasonal assessment and performance degradation rates using statistical tools," Renewable Energy, Elsevier, vol. 147(P1), pages 2102-2117.
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