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A novel approximate explicit double-diode model of solar cells for use in simulation studies

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  • Dehghanzadeh, Ahmad
  • Farahani, Gholamreza
  • Maboodi, Mohsen

Abstract

In this paper a novel explicit model is proposed to represent I-V expression of conventional double-diode model for photovoltaic (PV) cells. This model is based on two rules in electronics: first, Thevenin’s theorem to describe the linear components of equivalent circuit of PV cells, and second piecewise linear (PWL) model to approximate the behavior of remained nonlinear part. Defining a new parameter (a), an approximate explicit solution for I-V curve of PV model is extracted which surpasses conventional implicit model due to its high computational efficiency particularly in repetitive simulation of PV fields. Dispensing any need to change the concept and consequently the values of conventional double-diode parameters, only single new translation equation is developed for the parameter (a) in wide environmental conditions, which reduces the model complexity in comparison with other reported double-diode explicit solutions. The suitability of the proposed model would be thoroughly accredited by circuit analysis, experimental data and extensive simulation studies.

Suggested Citation

  • Dehghanzadeh, Ahmad & Farahani, Gholamreza & Maboodi, Mohsen, 2017. "A novel approximate explicit double-diode model of solar cells for use in simulation studies," Renewable Energy, Elsevier, vol. 103(C), pages 468-477.
  • Handle: RePEc:eee:renene:v:103:y:2017:i:c:p:468-477
    DOI: 10.1016/j.renene.2016.11.051
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    1. Unknown, 2002. "Front Matter," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 41(3), pages 1-1.
    2. 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.
    3. Unknown, 2002. "Front Matter," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 41(2), pages 1-1.
    4. Unknown, 2002. "Front Matter," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 41(4), pages 1-2.
    5. Unknown, 2002. "Front Matter," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 25(2), pages 1-1.
    6. Unknown, 2002. "Front Matter," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 25(3), pages 1-1.
    7. 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.
    8. Unknown, 1990. "Front Matter," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 42(2), pages 1-4.
    9. Das, Abhik Kumar, 2013. "Analytical expression of the physical parameters of an illuminated solar cell using explicit J–V model," Renewable Energy, Elsevier, vol. 52(C), pages 95-98.
    10. Das, Narottam & Wongsodihardjo, Hendy & Islam, Syed, 2015. "Modeling of multi-junction photovoltaic cell using MATLAB/Simulink to improve the conversion efficiency," Renewable Energy, Elsevier, vol. 74(C), pages 917-924.
    11. Unknown, 2002. "Front Matter," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 41(1), pages 1-1.
    12. Chellaswamy, C. & Ramesh, R., 2016. "Parameter extraction of solar cell models based on adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 97(C), pages 823-837.
    13. Unknown, 2002. "Front Matter," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 41(3), pages 1-2.
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    5. Gu, Wenbo & Ma, Tao & Shen, Lu & Li, Meng & Zhang, Yijie & Zhang, Wenjie, 2019. "Coupled electrical-thermal modelling of photovoltaic modules under dynamic conditions," Energy, Elsevier, vol. 188(C).
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    7. Tuyen Nguyen-Duc & Huy Nguyen-Duc & Thinh Le-Viet & Hirotaka Takano, 2020. "Single-Diode Models of PV Modules: A Comparison of Conventional Approaches and Proposal of a Novel Model," Energies, MDPI, vol. 13(6), pages 1-22, March.
    8. Li, Guorong & Zhang, Yunpeng & Zhou, Hai & Wu, Ji & Sun, Shumin & You, Daning & Zhang, Yuanpeng, 2024. "Novel reference condition independent method for estimating performance for PV modules based on double-diode model," Renewable Energy, Elsevier, vol. 226(C).
    9. Ridha, Hussein Mohammed & Hizam, Hashim & Mirjalili, Seyedali & Othman, Mohammad Lutfi & Ya'acob, Mohammad Effendy & Ahmadipour, Masoud, 2022. "Parameter extraction of single, double, and three diodes photovoltaic model based on guaranteed convergence arithmetic optimization algorithm and modified third order Newton Raphson methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
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