The Differences between Single Diode Model and Double Diode Models of a Solar Photovoltaic Cells: Systematic Review

  • Eze Val Hyginus Udoka
  • Kalyankolo Umaru Umaru
  • Enerst Edozie
  • Ritah Nafuna
  • Nansukusa Yudaya
DOI: https://doi.org/10.36079/lamintang.jetas-0502.541
Keywords: Double Diode, Photovoltaic, Renewable Energy, Single Diode, Solar

Abstract

This research paper systematically reviewed and investigated single diode model and double diode model of a solar photovoltaic systems in terms of accuracy, differences under major unknown PV parameters, different optimization and fabrication. This research paper reviewed the differences and the similarities between the single diode model and double diode model. From the review, it was clear that single diode model has less computation time and number of unknown parameters compared to double diode model. The double diode model on its own superiority is more accurate under solar shading condition effect than single diode model but single diode model performs better under high insolation levels. None of the two models is superior than the other but the solar photovoltaic modelers/installers should bear the solar irradiance of the environment before installation

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Author Biographies

Eze Val Hyginus Udoka

Department of Publication and Extension, Kampala International University, Uganda.

Kalyankolo Umaru Umaru

Department of Computer Science and Electrical Engineering, Muni University, Uganda.

Enerst Edozie

Department of Electrical, Telecommunication and Computer Engineering, Kampala International University, Uganda.

Ritah Nafuna

Department of Computer Science and Electrical Engineering, Muni University, Uganda.

Nansukusa Yudaya

Department of Computer Science and Electrical Engineering, Muni University, Uganda.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
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2023-08-26
    Downloads : 144
How to Cite
[1]
E. V. H. Udoka, K. U. Umaru, E. Edozie, R. Nafuna, and N. Yudaya, “The Differences between Single Diode Model and Double Diode Models of a Solar Photovoltaic Cells: Systematic Review”, Journal of Engineering, Technology, and Applied Science, vol. 5, no. 2, pp. 57-66, Aug. 2023.
Issue
Vol 5 No 2: August 2023
Section
Articles

References

V. H. U. Eze, M. C. Eze, C. C. Ogbonna, S. A. Ugwu, K. Emeka, and C. A. Onyeke, “Comprehensive Review of Recent Electric Vehicle Charging Stations,” Global Journal of Scientific and Research Publications, vol. 1, no. 12, pp. 16–23, 2021.

V. H. U. Eze, U. O. Oparaku, A. S. Ugwu, and C. C. Ogbonna, “A Comprehensive Review on Recent Maximum Power Point Tracking of a Solar Photovoltaic Systems using Intelligent , Non-Intelligent and Hybrid based Techniques,” International Journal of Innovative Science and Research Technology, vol. 6, no. 5, pp. 456–474, 2021.

C. N. Ugwu and V. H. U. Eze, “Qualitative Research,” IDOSR of Computer and Applied Science, vol. 8, no. 1, pp. 20–35, 2023.

V. H. U. Eze, O. N. Iloanusi, M. C. Eze, and C. C. Osuagwu, “Maximum power point tracking technique based on optimized adaptive differential conductance,” Cogent Engineering, vol. 4, no. 1, 2017, doi: 10.1080/23311916.2017.1339336.

V. H. U. Eze, M. C. Eze, C. C. Ogbonna, S. Valentine, S. A. Ugwu, and C. E. Eze, “Review of the Implications of Uploading Unverified Dataset in A Data Banking Site ( Case Study of Kaggle ),” IDOSR Journal of Applied Science, vol. 7, no. 1, pp. 29–40, 2022.

S. Bana and R. P. Saini, “Identification of unknown parameters of a single diode photovoltaic model using particle swarm optimization with binary constraints,” Renewable Energy, vol. 101, pp. 1299–1310, 2016, doi: 10.1016/j.renene.2016.10.010.

V. H. U. Eze, “Development of Stable and Optimized Bandgap Perovskite Materials for Photovoltaic Applications,” IDOSR Journal of Computer and Applied Science, vol. 8, no. 1, pp. 44–51, 2023.

V. H. U. Eze, M. C. Eze, V. Chijindu, E. Chidinma E, U. A. Samuel, and O. C. Chibuzo, “Development of Improved Maximum Power Point Tracking Algorithm Based on Balancing Particle Swarm Optimization for Renewable Energy Generation,” IDOSR Journal of Applied Sciences, vol. 7, no. 1, pp. 12–28, 2022.

M. C. Eze et al., “Solar Energy Materials and Solar Cells Optimum silver contact sputtering parameters for efficient perovskite solar cell fabrication,” Solar Energy Materials and Solar Cells, vol. 230, no. 2020, p. 111185, 2021.

M. C. Eze et al., “Improving the efficiency and stability of in-air fabricated perovskite solar cells using the mixed antisolvent of methyl acetate and chloroform,” Organic Electronics, vol. 107, pp. 1–10, Aug. 2022.

A. Abbassi, R. Gammoudi, M. Ali Dami, O. Hasnaoui, and M. Jemli, “An improved single-diode model parameters extraction at different operating conditions with a view to modeling a photovoltaic generator: A comparative study,” Solar Energy, vol. 155, pp. 478–489, 2017.

S. Shongwe and M. Hanif, “Comparative Analysis of Different Single-Diode PV Modeling Methods,” IEEE Journal of Photovoltaics, vol. 5, no. 3, pp. 938–946, 2015.

M. T. Ahmed, T. Goncalves, and M. Tlemcani, “Single Diode Model Parameters Analysis of Photovoltaic Cells,” in 5th International Conference on Renewable Energy Research and Applications, 2016, vol. 5, pp. 396–400.

T. R. Ayodele, A. S. O. Ogunjuyigbe, and E. E. Ekoh, “Evaluation of numerical algorithms used in extracting the parameters of a single-diode photovoltaic model,” Sustainable Energy Technologies and Assessments, vol. 13, pp. 51–59, 2016.

W. O. Okafor, S. O. Edeagu, V. C. Chijindu, O. N. Iloanusi, and V. H. U. Eze, “A Comprehensive Review on Smart Grid Ecosystem,” IDOSR Journal of Applied Science, vol. 8, no. 1, pp. 25–63, 2023.

S. Bana and R. P. Saini, “A mathematical modeling framework to evaluate the performance of single diode and double diode based SPV systems,” Energy Reports, vol. 2, pp. 171–187, 2016.

C. C. Ogbonna, V. H. U. Eze, E. S. Ikechuwu, O. Okafor, O. C. Anichebe, and O. U. Oparaku, “A Comprehensive Review of Artificial Neural Network Techniques Used for Smart Meter-Embedded forecasting System.,” IDOSR Journal of Applied Science, vol. 8, no. 1, pp. 13–24, 2023.

G. Sulyok and J. Summhammer, “Extraction of a photovoltaic cell’s double-diode model parameters from data sheet values,” Energy Science and Engineering, vol. 6, no. 5, pp. 424–436, 2018.

J. P. Ram, H. Manghani, D. S. Pillai, T. S. Babu, M. Miyatake, and N. Rajasekar, “Analysis on solar PV emulators: A review,” Renewable and Sustainable Energy Reviews, vol. 81, no. July 2017, pp. 149–160, 2018.

S. J. Yaqoob, A. L. Saleh, S. Motahhir, E. B. Agyekum, A. Nayyar, and B. Qureshi, “Comparative study with practical validation of photovoltaic monocrystalline module for single and double diode models,” Scientific Reports, vol. 11, no. 1, pp. 1–18, 2021.

A. J. Nascimento, M. C. Cavalcanti, F. Bradaschia, E. A. Silva, L. Michels, and L. P. Pietta, “Parameter estimation technique for double-diode model of photovoltaic modules,” 14th Brazilian Power Electronics Conference, COBEP 2017, vol. 2018-Janua, pp. 1–6, 2017.

V. Tamrakar, S. C. Gupta, and Y. Sawle, “Study of characteristics of single and double diode electrical equivalent circuit models of solar PV module,” in International Conference on Energy Systems and Applications, ICESA 2015, 2016, no. Icesa, pp. 312–317.

B. S. S. Ganesh Pardhu and V. R. Kota, “Radial movement optimization based parameter extraction of double diode model of solar photovoltaic cell,” Solar Energy, vol. 213, no. May 2020, pp. 312–327, 2021.

B. K. Dey, I. Khan, M. N. Abhinav, and A. Bhattacharjee, “Mathematical modelling and characteristic analysis of Solar PV Cell,” 7th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, IEEE IEMCON 2016.

J. K. Sayyad and P. S. Nasikkar, “Solar photovoltaic module performance characterisation using single diode modeling,” E3S Web of Conferences, vol. 170, 2020.

N. M. A. Alrahim Shannan, N. Z. Yahaya, and B. Singh, “Single-diode model and two-diode model of PV modules: A comparison,” in Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013, 2013, pp. 210–214.