IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v98y2018icp199-216.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032118306683
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2018.09.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dong, Xiao-Jian & Shen, Jia-Ni & Ma, Zi-Feng & He, Yi-Jun, 2022. "Simultaneous operating temperature and output power prediction method for photovoltaic modules," Energy, Elsevier, vol. 260(C).
    2. Li, Baojie & Hansen, Clifford W. & Chen, Xin & Diallo, Demba & Migan-Dubois, Anne & Delpha, Claude & Jain, Anubhav, 2024. "A robust I–V curve correction procedure for degraded photovoltaic modules," Renewable Energy, Elsevier, vol. 224(C).
    3. Dag, H.I. & Buker, M.S., 2020. "Performance evaluation and degradation assessment of crystalline silicon based photovoltaic rooftop technologies under outdoor conditions," Renewable Energy, Elsevier, vol. 156(C), pages 1292-1300.
    4. 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.
    5. Qu, Jiaqi & Sun, Qiang & Qian, Zheng & Wei, Lu & Zareipour, Hamidreza, 2024. "Fault diagnosis for PV arrays considering dust impact based on transformed graphical features of characteristic curves and convolutional neural network with CBAM modules," Applied Energy, Elsevier, vol. 355(C).
    6. 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.
    7. 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.
    8. Sachin Kumar & Kumari Sarita & Akanksha Singh S Vardhan & Rajvikram Madurai Elavarasan & R. K. Saket & Narottam Das, 2020. "Reliability Assessment of Wind-Solar PV Integrated Distribution System Using Electrical Loss Minimization Technique," Energies, MDPI, vol. 13(21), pages 1-30, October.
    9. Ayman Alhejji & Alban Kuriqi & Jakub Jurasz & Farag K. Abo-Elyousr, 2021. "Energy Harvesting and Water Saving in Arid Regions via Solar PV Accommodation in Irrigation Canals," Energies, MDPI, vol. 14(9), pages 1-24, May.
    10. Kumar, Manish & Kumar, Arun, 2019. "Experimental validation of performance and degradation study of canal-top photovoltaic system," Applied Energy, Elsevier, vol. 243(C), pages 102-118.
    11. Chedid, Riad & Sawwas, Ahmad & Fares, Dima, 2020. "Optimal design of a university campus micro-grid operating under unreliable grid considering PV and battery storage," Energy, Elsevier, vol. 200(C).
    12. Singh, Rashmi & Sharma, Madhu & Yadav, Kamlesh, 2022. "Degradation and reliability analysis of photovoltaic modules after operating for 12 years: A case study with comparisons," Renewable Energy, Elsevier, vol. 196(C), pages 1170-1186.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Humada, Ali M. & Hojabri, Mojgan & Mekhilef, Saad & Hamada, Hussein M., 2016. "Solar cell parameters extraction based on single and double-diode models: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 494-509.
    2. 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.
    3. Pillai, Dhanup S. & Rajasekar, N., 2018. "Metaheuristic algorithms for PV parameter identification: A comprehensive review with an application to threshold setting for fault detection in PV systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3503-3525.
    4. Kumar, Manish & Kumar, Arun, 2017. "Performance assessment and degradation analysis of solar photovoltaic technologies: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 554-587.
    5. Ma, Tao & Yang, Hongxing & Lu, Lin, 2014. "Solar photovoltaic system modeling and performance prediction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 304-315.
    6. Kichou, Sofiane & Silvestre, Santiago & Guglielminotti, Letizia & Mora-López, Llanos & Muñoz-Cerón, Emilio, 2016. "Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification," Renewable Energy, Elsevier, vol. 99(C), pages 270-279.
    7. 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.
    8. Efstratios Batzelis, 2019. "Non-Iterative Methods for the Extraction of the Single-Diode Model Parameters of Photovoltaic Modules: A Review and Comparative Assessment," Energies, MDPI, vol. 12(3), pages 1-26, January.
    9. Gulkowski, Slawomir & Muñoz Diez, José Vicente & Aguilera Tejero, Jorge & Nofuentes, Gustavo, 2019. "Computational modeling and experimental analysis of heterojunction with intrinsic thin-layer photovoltaic module under different environmental conditions," Energy, Elsevier, vol. 172(C), pages 380-390.
    10. Wu, Lijun & Chen, Zhicong & Long, Chao & Cheng, Shuying & Lin, Peijie & Chen, Yixiang & Chen, Huihuang, 2018. "Parameter extraction of photovoltaic models from measured I-V characteristics curves using a hybrid trust-region reflective algorithm," Applied Energy, Elsevier, vol. 232(C), pages 36-53.
    11. Wang, Shinong & Luo, Huan & Ge, Yuan & Liu, Shilin, 2021. "A new approach for modeling photovoltaic modules based on difference equation," Renewable Energy, Elsevier, vol. 168(C), pages 85-96.
    12. Zhang, Yunpeng & Hao, Peng & Lu, Hao & Ma, Jiao & Yang, Ming, 2022. "Modelling and estimating performance for PV module under varying operating conditions independent of reference condition," Applied Energy, Elsevier, vol. 310(C).
    13. Peñaranda Chenche, Luz Elena & Hernandez Mendoza, Oscar Saul & Bandarra Filho, Enio Pedone, 2018. "Comparison of four methods for parameter estimation of mono- and multi-junction photovoltaic devices using experimental data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2823-2838.
    14. 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.
    15. Choulli, Imade & Elyaqouti, Mustapha & Arjdal, El hanafi & Ben hmamou, Dris & Saadaoui, Driss & Lidaighbi, Souad & Elhammoudy, Abdelfattah & Abazine, Ismail, 2023. "Hybrid optimization based on the analytical approach and the particle swarm optimization algorithm (Ana-PSO) for the extraction of single and double diode models parameters," Energy, Elsevier, vol. 283(C).
    16. Li, Shuijia & Gong, Wenyin & Gu, Qiong, 2021. "A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    17. Koohi-Kamalі, Sam & Rahim, N.A. & Mokhlis, H. & Tyagi, V.V., 2016. "Photovoltaic electricity generator dynamic modeling methods for smart grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 131-172.
    18. Rhouma, Mohamed B.H. & Gastli, Adel & Ben Brahim, Lazhar & Touati, Farid & Benammar, Mohieddine, 2017. "A simple method for extracting the parameters of the PV cell single-diode model," Renewable Energy, Elsevier, vol. 113(C), pages 885-894.
    19. Khan, Firoz & Al-Ahmed, Amir & Al-Sulaiman, Fahad A., 2021. "Critical analysis of the limitations and validity of the assumptions with the analytical methods commonly used to determine the photovoltaic cell parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    20. Jena, Debashisha & Ramana, Vanjari Venkata, 2015. "Modeling of photovoltaic system for uniform and non-uniform irradiance: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 400-417.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:98:y:2018:i:c:p:199-216. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.