Bilge Kaan ATAY, Ulaş EMİNOĞLU

A new approach for parameter estimation of the single-diode model for photovoltaic cells/modules

Solar energy has become a popular renewable energy source, leading to wide use of photovoltaic (PV)cells/modules in energy production. For this reason, realistic modeling of PVs and determining the equivalent circuitparameters is of great importance in terms of planning and operation. Hence, in this study, an analytical model foridentifying the single-diode equivalent circuit parameters; series resistance (Rs ), shunt resistance (Rp ), diode idealityfactor (a), diode reverse-saturation current (Io ), and photon current (Ipv ) for PV cells/modules is developed withoutneglecting any term. In order to test the accuracy of the model, a number of PV modules from different manufacturersare taken into account and the results are compared with those obtained by using such analytical models given inthe literature. Current-voltage (I-V) characteristics of the PV modules, which are studied here, are also simulatedby comparing with the experimental I-V curves provided by the manufacturers. Results show that the values of theparameters obtained for the PV modules are consistent with those extracted by using other analytical models. Inaddition, I-V curves created by using the obtained parameters are in full agreement with the experimental data. Thecurves also show a high degree of compatibility with the ones created by using the optimal parameters of the two-diodemodels given in the literature. Moreover, the proposed model provides a great advantage in estimating equivalent circuitparameters in terms of ease of use, requirements for input data, dependency on initial conditions as well as consideringthe parameters which are neglected in such methods given in the literature.

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[1] Hejri M, Mokhtari H, Azizian MR, Söder L. An analytical-numerical approach for parameter determination of a five-parameter single-diode model of photovoltaic cells and modules. International Journal of Sustainable Energy 2016; 35 (4): 396-410. doi: 10.1080/14786451.2013.863886
[2] Chan DSH, Phang JCH. Analytical methods for the extraction of solar-cell single-and double-diode model parameters from I-V characteristics. IEEE Transactions on Electron Devices 1987; 34 (2): 286-293. doi: 10.1109/TED.1987.22920
[3] Shongwe S, Hanif M. Comparative analysis of different single-diode PV modeling methods. IEEE Journal of Photovoltaics 2015; 5 (3): 938-946. doi: 10.1109/JPHOTOV.2015.2395137
[4] Sera D, Teodorescu R, Rodriguez P. PV panel model based on datasheet values. In: IEEE International Symposium on Industrial Electronics; Vigo, Spain; 2007. pp. 2392-2396. doi: 10.1109/ISIE.2007.4374981
[5] Reis LRD, Camacho JR, Novacki DF. The Newton Raphson method in the extraction of parameters of PV modules. In: International Conference on Renewable Energies and Power Quality (ICREPQ’17); Malaga, Spain; 2017. pp. 634-639. doi: 10.24084/repqj15.416
[6] Kareem MSA, Saravanan M. A new method for accurate estimation of PV module parameters and extraction of maximum power point under varying environmental conditions. Turkish Journal of Electrical Engineering & Computer Sciences 2016; 24 (4): 2028-2041. doi: 10.3906/elk-1312-268
[7] Chaibi Y, Salhi M, El-jouni A, Essadki A. A new method to extract the equivalent circuit parameters of a photovoltaic panel. Solar Energy 2018; 163: 376-386. doi: 10.1016/j.solener.2018.02.017
[8] Cubas J, Pindado S, Farrahi A. New method for analytical photovoltaic parameter extraction. In: International Conference on Renewable Energy Research and Applications (ICRERA); Madrid, Spain; 2013. pp. 873-877. doi: 10.1109/ICRERA.2013.6749874
[9] Patel S. The single diode model of I-V and P-V characteristics using the lambert w function. International Journal of Innovative Research in Science Engineering and Technology 2016; 5 (5): 7034-7039. doi: 10.15680/IJIRSET.2016.0505058
[10] Farivar G, Asaei B. Photovoltaic module single diode model parameters extraction based on manufacturer datasheet parameters. In: IEEE International Conference on Power and Energy (PECon); Kuala Lumpur, Malaysia; 2010. pp. 929-934. doi: 10.1109/PECON.2010.5697712
[11] Shannan NMAA, Yahaya NZ, Singh B. Single-diode model and two-diode model of PV modules: a comparison. In: IEEE International Conference on Control System, Computing and Engineering (ICCSCE); Mindeb, Malaysia; 2013. pp. 210-214. doi: 10.1109/ICCSCE.2013.6719960
[12] Yahfdhou A, Mahmoud AK, Youm I. Evaluation and determination of seven and five parameters of a photovoltaic generator by an iterative method. Smart Grid and Renewable Energy 2016; 7: 247-260. doi: 10.4236/sgre.2016.79019
[13] Hejri M, Mokhtari H, Azizian MR, Ghandhari M, Söder L. On the parameter extraction of a five-parameter double-diode model of photovoltaic cells and modules. IEEE Journal of Photovoltaics 2014; 4 (3): 915-923. doi: 10.1109/JPHOTOV.2014.2307161
[14] Zagrouba M, Sellami A, Bouaicha M, Ksouuri M. Identification of PV solar cells and modules parameters using the genetic algorithms: Application to maximum power extraction. Solar Energy 2010; 84 (5): 860-866. doi: 10.1016/j.solener.2010.02.012
[15] Sandrolini L, Artioli M, Reggiani U. Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis. Applied Energy 2010; 87 (2): 442-451. doi: 10.1016/j.apenergy.2009.07.022
[16] Muralidharan R. Parameter extraction of solar photovoltaic cells and modules using current-voltage characteristics. International Journal of Ambient Energy 2017; 38 (5): 509-513. doi: 10.1080/01430750.2016.1144525
[17] Ishaque K, Salam Z. An improved modeling method to determine the model parameters of photovoltaic (PV) modules using differential evolution (DE). Solar Energy 2011; 85 (9): 2349-2359. doi: 10.1016/j.solener.2011.06.025
[18] Goldberg DE. Genetic algorithms in search optimization and machine learning. Boston, MA, USA: Addison Wesley Publishing Company, 1989.
[19] Kennedy J, Eberhart RC. Particle swarm optimization. In: IEEE International Conference on Evolutionary Computation (ICNN’95); Perth, WA, Australia; 1995. pp. 1942-1948. doi: 10.1109/ICNN.1995.488968
[20] Storn R, Price K. Differential Evolution–a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 1997; 11 (4): 341-359. doi: 10.1023/A:1008202821328
[21] Saravanan C, Panneerselvam MA. A comprehensive analysis for extracting single diode PV model parameters by hybrid GA-PSO algorithm. International Journal of Computer Applications 2013; 78 (8): 16-19. doi: 10.5120/13509- 1265
[22] Bencherif M, Benouaz T. Parameter extraction of solar panels using the graphical method. International Journal of Ambient Energy 2018; 1-18. doi: 10.1080/01430750.2018.1501735
[23] Hamid NFA, Rahim NA, Selvaraj J. Solar cell parameters identification using hybrid Nelder-Mead and modified particle swarm optimization. Journal of Renewable and Sustainable Energy 2016; 8: 1-21. doi: 10.1063/1.4941791
[24] Hussein A. A simple approach to extract the unknown parameters of PV modules. Turkish Journal of Electrical Engineering & Computer Sciences 2017; 25: 4431-4444. doi:10.3906/elk-1703-14
[25] Amin YK, Shahhoseini A. A fast modeling of the double-diode model for PV modules using combined analytical and numerical approach. Solar Energy 2018; 162: 403-409.
[26] Mohapatra A, Nayak B, Mohanty KB. Parameter extraction of PV modules using NLS algorithm with Experimental Validation. International Journal of Electrical and Computer Engineering 2017; 7 (5): 23922400. doi:10.11591/ijece.v7i5.pp2392-2400
[27] Humada AM, Hojabri M, Mekhilef S, Hamada HM. Solar cell parameters extraction based on single and double-diode models: a review. Renewable and Sustainable Energy Reviews 2016; 56: 494-509. doi: 10.1016/j.rser.2015.11.051