IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v36y2011i11p2972-2977.html
   My bibliography  Save this article

Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve

Author

Listed:
  • Carrero, C.
  • Ramírez, D.
  • Rodríguez, J.
  • Platero, C.A.

Abstract

Currently there are different methods to estimate the parameters necessary to model a PV cell or generator. The simplest ones are based on reducing the number of parameters, disregarding some of them or assigning an initial value. These methods use simple equations, often obtained empirically, and very easy calculations. Usually, the results are simple approximations, for which reason they must be considered unreliable.

Suggested Citation

  • Carrero, C. & Ramírez, D. & Rodríguez, J. & Platero, C.A., 2011. "Accurate and fast convergence method for parameter estimation of PV generators based on three main points of the I–V curve," Renewable Energy, Elsevier, vol. 36(11), pages 2972-2977.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:11:p:2972-2977
    DOI: 10.1016/j.renene.2011.04.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148111001698
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2011.04.001?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. 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.
    2. 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.
    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. Esteban Velilla & Juan Bernardo Cano & Keony Jimenez & Jaime Valencia & Daniel Ramirez & Franklin Jaramillo, 2018. "Numerical Analysis to Determine Reliable One-Diode Model Parameters for Perovskite Solar Cells," Energies, MDPI, vol. 11(8), pages 1-12, July.
    2. Martin Libra & Vladislav Poulek & Pavel Kouřím, 2017. "Temperature changes of I-V characteristics of photovoltaic cells as a consequence of the Fermi energy level shift," Research in Agricultural Engineering, Czech Academy of Agricultural Sciences, vol. 63(1), pages 10-15.
    3. Farhoodnea, Masoud & Mohamed, Azah & Khatib, Tamer & Elmenreich, Wilfried, 2015. "Performance evaluation and characterization of a 3-kWp grid-connected photovoltaic system based on tropical field experimental results: new results and comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1047-1054.
    4. Madi, Saida & Kheldoun, Aissa, 2017. "Bond graph based modeling for parameter identification of photovoltaic module," Energy, Elsevier, vol. 141(C), pages 1456-1465.
    5. Li, W. & Paul, M.C. & Baig, H. & Siviter, J. & Montecucco, A. & Mallick, T.K. & Knox, A.R., 2019. "A three-point-based electrical model and its application in a photovoltaic thermal hybrid roof-top system with crossed compound parabolic concentrator," Renewable Energy, Elsevier, vol. 130(C), pages 400-415.
    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. Chen, Zhicong & Wu, Lijun & Lin, Peijie & Wu, Yue & Cheng, Shuying, 2016. "Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy," Applied Energy, Elsevier, vol. 182(C), pages 47-57.
    8. Li, W. & Paul, M.C. & Rolley, M. & Sweet, T. & Gao, M. & Siviter, J. & Montecucco, A. & Knox, A.R. & Baig, H. & Mallick, T.K. & Fernandez, E.F. & Han, G. & Gregory, D.H. & Azough, F. & Freer, R., 2017. "A scaling law for monocrystalline PV/T modules with CCPC and comparison with triple junction PV cells," Applied Energy, Elsevier, vol. 202(C), pages 755-771.
    9. Vincenzo Franzitta & Aldo Orioli & Alessandra Di Gangi, 2017. "Assessment of the Usability and Accuracy of Two-Diode Models for Photovoltaic Modules," Energies, MDPI, vol. 10(4), pages 1-32, April.
    10. Aly, Shahzada Pamir & Ahzi, Said & Barth, Nicolas, 2019. "An adaptive modelling technique for parameters extraction of photovoltaic devices under varying sunlight and temperature conditions," Applied Energy, Elsevier, vol. 236(C), pages 728-742.
    11. Nader Anani & Haider Ibrahim, 2020. "Adjusting the Single-Diode Model Parameters of a Photovoltaic Module with Irradiance and Temperature," Energies, MDPI, vol. 13(12), pages 1-17, June.
    12. Toledo, F.J. & Blanes, José M. & Galiano, V. & Laudani, A., 2021. "In-depth analysis of single-diode model parameters from manufacturer’s datasheet," Renewable Energy, Elsevier, vol. 163(C), pages 1370-1384.
    13. 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.
    14. Kumar, Manish & Malik, Prashant & Chandel, Rahul & Chandel, Shyam Singh, 2023. "Development of a novel solar PV module model for reliable power prediction under real outdoor conditions," Renewable Energy, Elsevier, vol. 217(C).
    15. Ayang, Albert & Wamkeue, René & Ouhrouche, Mohand & Djongyang, Noël & Essiane Salomé, Ndjakomo & Pombe, Joseph Kessel & Ekemb, Gabriel, 2019. "Maximum likelihood parameters estimation of single-diode model of photovoltaic generator," Renewable Energy, Elsevier, vol. 130(C), pages 111-121.

    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Madi, Saida & Kheldoun, Aissa, 2017. "Bond graph based modeling for parameter identification of photovoltaic module," Energy, Elsevier, vol. 141(C), pages 1456-1465.
    7. Li, W. & Paul, M.C. & Baig, H. & Siviter, J. & Montecucco, A. & Mallick, T.K. & Knox, A.R., 2019. "A three-point-based electrical model and its application in a photovoltaic thermal hybrid roof-top system with crossed compound parabolic concentrator," Renewable Energy, Elsevier, vol. 130(C), pages 400-415.
    8. 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.
    9. Bastidas-Rodriguez, J.D. & Petrone, G. & Ramos-Paja, C.A. & Spagnuolo, G., 2017. "A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 38-54.
    10. Cuce, Erdem & Cuce, Pinar Mert & Bali, Tulin, 2013. "An experimental analysis of illumination intensity and temperature dependency of photovoltaic cell parameters," Applied Energy, Elsevier, vol. 111(C), pages 374-382.
    11. Nader Anani & Haider Ibrahim, 2020. "Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators," Energies, MDPI, vol. 13(18), pages 1-25, September.
    12. Li, W. & Paul, M.C. & Rolley, M. & Sweet, T. & Gao, M. & Siviter, J. & Montecucco, A. & Knox, A.R. & Baig, H. & Mallick, T.K. & Fernandez, E.F. & Han, G. & Gregory, D.H. & Azough, F. & Freer, R., 2017. "A scaling law for monocrystalline PV/T modules with CCPC and comparison with triple junction PV cells," Applied Energy, Elsevier, vol. 202(C), pages 755-771.
    13. Torres-Ramírez, M. & Nofuentes, G. & Silva, J.P. & Silvestre, S. & Muñoz, J.V., 2014. "Study on analytical modelling approaches to the performance of thin film PV modules in sunny inland climates," Energy, Elsevier, vol. 73(C), pages 731-740.
    14. 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.
    15. Carrero, C. & Amador, J. & Arnaltes, S., 2007. "A single procedure for helping PV designers to select silicon PV modules and evaluate the loss resistances," Renewable Energy, Elsevier, vol. 32(15), pages 2579-2589.
    16. Shen, Yu & He, Zengxiang & Xu, Zhen & Wang, Yiye & Li, Chenxi & Zhang, Jinxia & Zhang, Kanjian & Wei, Haikun, 2022. "Modeling of photovoltaic modules under common shading conditions," Energy, Elsevier, vol. 256(C).
    17. Safdar Mehmood & Yang Xia & Furong Qu & Meng He, 2023. "Investigating the Performance of Efficient and Stable Planer Perovskite Solar Cell with an Effective Inorganic Carrier Transport Layer Using SCAPS-1D Simulation," Energies, MDPI, vol. 16(21), pages 1-14, November.
    18. Bastidas-Rodriguez, J.D. & Franco, E. & Petrone, G. & Ramos-Paja, C.A. & Spagnuolo, G., 2017. "Quantification of photovoltaic module degradation using model based indicators," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 101-113.
    19. de la Parra, I. & Muñoz, M. & Lorenzo, E. & García, M. & Marcos, J. & Martínez-Moreno, F., 2017. "PV performance modelling: A review in the light of quality assurance for large PV plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 780-797.
    20. Manuel J. Heredia-Rios & Luis Hernandez-Martinez & Monico Linares-Aranda & Mario Moreno-Moreno & Javier Flores Méndez, 2024. "Analysis of Losses Associated with Series Resistance (Rs) in Simple-Structured c-Si Solar Cells," Energies, MDPI, vol. 17(7), pages 1-13, March.

    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:renene:v:36:y:2011:i:11:p:2972-2977. 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.journals.elsevier.com/renewable-energy .

    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.