Abstract
The aim of this work is to improve the estimation of parameters of solar photovoltaic models. An approach based on lightning attachment procedure optimization, which takes into account the uncertainties of measurements, is proposed. The approach includes three steps: the extraction of the parameters in a conventional manner, the determination of the partial uncertainties of all the parameters, and finally the determination of the instantaneous parameters based on the results of the first two steps. To validate the proposed theoretical developments, the approach is applied to four different photovoltaic parameter estimation problems. The results obtained are compared with those given by well-established algorithms to confirm the effectiveness of the proposed method, revealing that the proposed method exhibits very effective performance with a root-mean-square error on the order of 1 × 10−17, compared with 1 × 10−4 for existing literature methods.
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References
Chegaar, M., Ouennoughi, Z., Guechi, F.: Extracting dc parameters of solar cells under illumination. Vacuum 75, 367–372 (2004)
Kennerud, K.L.: Analysis of performance degradation in CdS solar cells. IEEE Trans. Aerosp. Electron. Syst. AES–5(6), 912–917 (1969)
Lun, S., et al.: A new explicit I-V model of a solar cell based on Taylor’s series expansion. Sol. Energy 94, 221–232 (2013)
Easwarakhanthan, T., et al.: Nonlinear minimization algorithm for determining the solar cell parameter with microcomputers. Int. J. Sustain. Energy 4(1), 1–12 (1986)
Cabestany, J., Castaiier, L.: Evaluation of solar cell parameters by nonlinear algorithms. J. Phys. D Appl. Phys. 16, 2547–2558 (1983)
Abdul Hamid, N.F. et al. (2013) Solar cell parameters extraction using particle swarm optimization algorithm. In: 2013 IEEE Conference on Clean Energy and Technology (CEAT)
El-Naggar, K.M., et al.: Simulated annealing algorithm for photovoltaic parameters identification. Sol. Energy 86, 266–274 (2012)
Patel, S.J., et al.: Solar cell parameters extraction from a current-voltage characteristic using genetic algorithm. J. Nano Electron. Phys. 5(2), 02008(3pp) (2013)
AlHajri, M.F., et al.: Optimal extraction of solar cell parameters using pattern search. Renew. Energy 44, 238–245 (2012)
Niu, Q., Zhang, L., Li, K.: A biogeography-based optimization algorithm with mutation strategies for model parameter estimation of solar and fuel cells. Energy Convers. Manag. 86, 1173–1185 (2014)
Oliva, D., Cuevas, E., Pajares, G.: Parameter identification of solar cells using artificial bee colony optimization. Energy 72, 93–102 (2014)
Yuan, X., He, Y., Liu, L.: Parameter extraction of solar cell models using chaotic asexual reproduction optimization. Neural Comput. Appl. 26, 1227–1239 (2015)
Chellaswamy, C., Ramesh, R.: Parameter extraction of solar cell models based on adaptive differential evolution algorithm. Renew. Energy 97, 823–837 (2016)
Xiong, G., et al.: Application of symbiotic organisms search algorithm for parameter extraction of solar cell models. Appl. Sci. 8, 2155 (2018). https://doi.org/10.3390/app8112155
Gao, X., et al.: Parameter extraction of solar cell models using improved shuffled complex evolution algorithm. Energy Convers. Manag. 157, 460–479 (2018)
Beigia, A.M., Maroosi, A.: Parameter identification for solar cells and module using a Hybrid Firefly and Pattern Search Algorithms. Sol. Energy 171, 435–446 (2018)
Yu, K., et al.: Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models. Appl. Energy 226, 408–422 (2018)
Louzazni, M., et al.: Metaheuristic algorithm for photovoltaic parameters: comparative study and prediction with a firefly algorithm. Appl. Sci. 8, 339 (2018). https://doi.org/10.3390/app8030339
Kanimozhi Harish Kumar, G.: Modeling of solar cell under different conditions by Ant Lion Optimizer with LambertW function. Soft Comput. Appl. (2018). https://doi.org/10.1016/j.asoc.2018.06.025
Merchaoui, M., et al.: Particle swarm optimisation with adaptive mutation strategy for photovoltaic solar cell/module parameter extraction. Energy Convers. Manag. 175, 151–163 (2018)
Kang, T.: A novel improved cuckoo search algorithm for parameter estimation of photovoltaic (PV) models. Energies 11, 1060 (2018). https://doi.org/10.3390/en11051060
Gao, X., et al.: Performance comparison of exponential, Lambert W function and Special Trans function based single diode solar cell models. Energy Convers. Manag. 171, 1822–1842 (2018)
Li, Shuijia, et al.: Parameter extraction of photovoltaic models using an improved teachinglearning-based optimization. Energy Convers. Manag. 186, 293–305 (2019)
Muangkote, N., et al.: An advanced onlooker-ranking-based adaptive differential evolution to extract the parameters of solar cell models. Renew. Energy 134, 1129–1147 (2019)
Chena, X., Yu, K.: Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters. Sol. Energy 180, 192–206 (2019)
Chin, V.J., Salam, Z.: A new three-point-based approach for the parameter extraction of photovoltaic cells. Appl. Energy 237, 519–533 (2019)
Easwarakhanthan, T., et al.: Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers. Int. J. Solar Energy 4, 1–12 (1986)
Tong, N.T., Pora, W.: A parameter extraction technique exploiting intrinsic properties of solar cells. Appl. Energy 176, 104–115 (2016)
Wang, Y., Jiang, X.: An enhanced lightning attachment procedure optimization algorithm. Algorithms 12, 134 (2019). https://doi.org/10.3390/a12070134
Fouroghi, A.: Lightning Attachment Procedure Optimization (LAPO) source codes demo version 1.0. https://www.mathworks.com/matlabcentral/fileexchange/64459-lapo. Accessed 19 Sep 2017
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Ben Messaoud, R. Extraction of uncertain parameters of a single-diode model for a photovoltaic panel using lightning attachment procedure optimization. J Comput Electron 19, 1192–1202 (2020). https://doi.org/10.1007/s10825-020-01500-x
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DOI: https://doi.org/10.1007/s10825-020-01500-x