Estimation of parameters for one diode solar PV cell using grey wolf optimizer to obtain exact V-I characteristics

ADLA VINOD, A.k. sinha

Abstract


This article introduces an adequate method to estimate the unknown parameters of one diode PV cell. Considering this scheme, actual estimation of parameters which are unknown is identified by objective function minimization by employing eminent adequate grey wolf optimizer (GWO) algorithm. Mentioned (GWO) algorithm is implemented for estimation of parameter to one diode PV cell and tabulation results are correlated with others, by recent advance memetic algorithm, cuckoo search, pattern search, simulated annealing, particle swarm optimization, and genetic algorithm. Experimental data and simulation results depict that GWO algorithm is adequate to accomplish all the parameter by great accuracy. This GWO algorithm outperforms previous algorithms correlated in this consideration.

Chan, Y., Phang, J.C., Chan, D.S. & Phang, J.C. 1986.  Analytical methods for the extraction of solar-cell single and double diode model parameters from IV characteristics.  Solar Energy.4:1–12.

Ortiz-Conde, A., Lugo-Munoz, D.& Garcia-Sanchez, F.J. 2012. An explicit multiexponential model as an alternative to traditional solar cell models with series and shunt resistances.  IEEE Journal of Photovoltaics.  2(3):261-68.

Ortiz-Conde, A., Garcia-Sanchez, D.J., Tira´n Barrios, A., Muci, J., deSouza, M. & Pavanello, M.A. 2013. Approximate analytical expression for the terminal voltage in multi-exponential diode models. Solid State Electron. 89:7–11

Wolf, M., Noel, G.T. & Stirn, R.J. 1977. Investigation of the double exponential in the current—voltage characteristics of silicon solar cells. IEEE Transactions on Electron Devices. 24(4):419-28.

Romero, B., Del Pozo, G. & Arredondo, B. 2012. Exact analytical solution of a two diode circuit model for organic solar cells showing S-shape using Lambert W-functions. Solar Energy. 86(10):3026-3029.

Orioli, A. & Di Gangi, A. 2013. A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data.  Applied Energy. 102:1160-1177.

Ortiz-Conde, A., Sánchez, F. J. G. & Muci, J. 2006. New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics. Solar Energy Materials and Solar Cells. 90(3):352-361.

Chen, Y., Wang, X., Li, D., Hong, R. & Shen, H. 2011. Parameters extraction from commercial solar cells I–V characteristics and shunt analysis. Applied Energy. 88(6): 2239-2244.

Lineykin, S., Averbukh, M. & Kuperman, A. 2014. An improved approach to extract the single-diode equivalent circuit parameters of a photovoltaic cell/panel. Renewable and Sustainable Energy Reviews. 28:282-289.

Appelbaum, J. & Peled, A. 2014. Parameters extraction of solar cells–A comparative examination of three methods. Solar Energy Materials and Solar Cells. 122:164-73.

Zagrouba, M., Sellami, A., Bouaicha, M & Ksouri, M. 2010. Identification of PV solar cells and modules parameters using the genetic algorithms: application to maximum power extraction. Solar energy, 84(5):860-866.

Ismail, M.S., Moghavvemi, M. & Mahlia, T.M. 2013. Characterization of PV panel and global optimization of its model parameters using genetic algorithm. Energy Conversion and Management:10-25.

AlRashidi, M.R., AlHajri, M.F., El-Naggar, K.M. & Al-Othman, A.K. 2011. A new estimation approach for determining the I–V characteristics of solar cells.  Solar Energy. 85(7):1543-1550.

Soon, J. J., & Low, K. S. 2012. Photovoltaic model identification using particle swarm optimization with inverse barrier constraint.  IEEE Transactions on Power Electronics. 27(9): pp.3975-3983.

Wei, H., Cong, J., Lingyun, X. & Deyun, S. 2011. Extracting solar cell model parameters based on chaos particle swarm algorithm. In Electric International Conference on Information and Control Engineering (ICEICE).

Macabebe, E. Q. B., Sheppard, C. J. &  van Dyk, E. E. 2011. Parameter extraction from I–V characteristics of PV devices. Solar Energy. 85(1):12-18.

.El-Naggar, K.M., AlRashidi, M.R., AlHajri, M.F. & Al-Othman, A.K. 2012. Simulated Annealing algorithm for photovoltaic parameters identification. Solar Energy. 86(1):266-74.

Ma, J., Ting, T. O., Man, K. L., Zhang, N., Guan, S. U. & Wong, P. W. 2013. Parameter estimation of photovoltaic models via cuckoo search. Journal of Applied Mathematics.

Tan, K.C., Chiam, S. C., Mamun, A. A. &  Goh, C.K. 2009. Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. European Journal of Operational Research 197(2):701–713.

Shi, Y. & Eberhart, R. C. 1999. Empirical study of particle swarm optimization. In Evolutionary Computation, Congress on Proceedings of the CEC 99.

Karaboga, D. 2005. An idea based on honey bee swarm for numerical optimization. Technical report-tr06, Erciyes university, engineering faculty, computer engineering department.

Brano, V. L., Orioli, A., Ciulla, G. & Di Gangi, A. 2010. An improved five-parameter model for photovoltaic modules.  Solar Energy Materials and Solar Cells. 94(8):1358-1370.

Villalva, M. G., Gazoli, J. R. & Ruppert Filho, E. 2009. Comprehensive approach to modeling and simulation of photovoltaic arrays.  IEEE Transactions on power electronics. 24(5):1198-1208.

De Soto, W., Klein, S. A., & Beckman, W. A.2006. Improvement and validation of a model for photovoltaic array performance.  Solar energy. 80(1):78-88.

Easwarakhanthan, T., Bottin, J., Bouhouch, I. &  Boutrit, C. 1986. Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers. International Journal of Solar Energy. 4(1):1-12.

A.Slaoui,Électricité Photovoltaïque – Principes, Éditions Techniques de l'Ingénieur traité Génie énergétique,2013, BE 8578v2.1–14(inFrench).

T.Dittrich. 2014. Materials Concepts For Solar Cells, in, Energy Futures, Imperial College Press, Shelton Street, Covent Garden, London WC2H 9HE,England.

S.Astier,Conversionphotovoltaïque:durayonnementsolaireàlacellule,ÉditionsTechniquesdel’ingénieuOptiquePhotonique,Électronique-Automatique,2008,D3935.1–20 (inFrench)

Siddiqui, M. U., Arif, A. F. M., Bilton, A. M., Dubowsky, S. &  Elshafei, M.  2013. An  improved electric circuit model for photovoltaic modules based on sensitivity analysis. Solar Energy. 90:29-42.

Bensalem, S. & Chegaar, M. 2013. Thermal behavior of parasiti cresistances of poly crystalline silicon solar cells. Rev.Énerg.Renouv, 16(1):171-176.

Bayhan, H. & Kavasoglu, A. S. 2007. Exact analytical solution of the diode ideality factor of a pn junction device using Lambert W-function model.  Turkish Journal of Physics.31(1):7-10.

Chan, D.S.H., Phillips, J.R. &  Phang, J.C.H. 1986. Comparative study of extraction methods for solar cell model parameters.  Solid-State Electronics. 29 (3):329–337.

Sánchez Barroso, J.C., Barth, N., Correia, J., Ahzi, S. & Khaleel, M.A. 2015. computational analysis of coupled thermal and electrical behavior of PV panels.  Solar Energy Materials and Solar Cells. 148:73-86.

King, D.L., Kratochvil, J.A., & Boyson., W. E. 2004. Photovoltaic Array Performance Model. Sandia Report, Department of Energy, Sandia National.

Yang X.S. & Deb. 2009. Cuckoo search via Lévy flights. In Nature and Biologically Inspired Computing, , IEEE on World Congress NaBIC.

Mirjalili, S., Mirjalili, S.M. & Lewis, A. 2014. Grey wolf optimizer.  Advances in Engineering Software. 69:46-61.

 Chan, D. S., &  Phang, J. C., 1987. Analytical methods for the extraction of solar-cell single-and double-diode model parameters from IV characteristics. IEEE Transactions on Electron devices. 34(2):286-293.

Easwarakhanthan, T., Bottin, J., Bouhouch, I. & Boutrit, C. 1986. Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers. International Journal of Solar Energy. 4(1):1-12.

Bouzidi, K; Chegaar, M. & Nehaoua, N. 2007. New methods to extract the parameters of solar cells from their illuminated I-V curve. Proceedings of the 4th International Conference on Computer Integrated Manufacturing, S´etif, Algeria.

Yoon, Y. &  WooGeem, Z. 2015. Parameter optimization of single-diode model of photovoltaic cell using memetic algorithm. International journal of photon energy.


Keywords


PV cell, parameter estimation, V-I characteristics, GWO and accuracy

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References


Chan, Y., Phang, J.C., Chan, D.S. & Phang, J.C. 1986. Analytical methods for the extraction of solar-cell single and double diode model parameters from IV characteristics. Solar Energy.4:1–12.

Ortiz-Conde, A., Lugo-Munoz, D.& Garcia-Sanchez, F.J. 2012. An explicit multiexponential model as an alternative to traditional solar cell models with series and shunt resistances. IEEE Journal of Photovoltaics. 2(3):261-68.

Ortiz-Conde, A., Garcia-Sanchez, D.J., Tira´n Barrios, A., Muci, J., deSouza, M. & Pavanello, M.A. 2013. Approximate analytical expression for the terminal voltage in multi-exponential diode models. Solid State Electron. 89:7–11

Wolf, M., Noel, G.T. & Stirn, R.J. 1977. Investigation of the double exponential in the current—voltage characteristics of silicon solar cells. IEEE Transactions on Electron Devices. 24(4):419-28.

Romero, B., Del Pozo, G. & Arredondo, B. 2012. Exact analytical solution of a two diode circuit model for organic solar cells showing S-shape using Lambert W-functions. Solar Energy. 86(10):3026-3029.

Orioli, A. & Di Gangi, A. 2013. A procedure to calculate the five-parameter model of crystalline silicon photovoltaic modules on the basis of the tabular performance data. Applied Energy. 102:1160-1177.

Ortiz-Conde, A., Sánchez, F. J. G. & Muci, J. 2006. New method to extract the model parameters of solar cells from the explicit analytic solutions of their illuminated I–V characteristics. Solar Energy Materials and Solar Cells. 90(3):352-361.

Chen, Y., Wang, X., Li, D., Hong, R. & Shen, H. 2011. Parameters extraction from commercial solar cells I–V characteristics and shunt analysis. Applied Energy. 88(6): 2239-2244.

Lineykin, S., Averbukh, M. & Kuperman, A. 2014. An improved approach to extract the single-diode equivalent circuit parameters of a photovoltaic cell/panel. Renewable and Sustainable Energy Reviews. 28:282-289.

Appelbaum, J. & Peled, A. 2014. Parameters extraction of solar cells–A comparative examination of three methods. Solar Energy Materials and Solar Cells. 122:164-73.

Zagrouba, M., Sellami, A., Bouaicha, M & Ksouri, M. 2010. Identification of PV solar cells and modules parameters using the genetic algorithms: application to maximum power extraction. Solar energy, 84(5):860-866.

Ismail, M.S., Moghavvemi, M. & Mahlia, T.M. 2013. Characterization of PV panel and global optimization of its model parameters using genetic algorithm. Energy Conversion and Management:10-25.

AlRashidi, M.R., AlHajri, M.F., El-Naggar, K.M. & Al-Othman, A.K. 2011. A new estimation approach for determining the I–V characteristics of solar cells. Solar Energy. 85(7):1543-1550.

Soon, J. J., & Low, K. S. 2012. Photovoltaic model identification using particle swarm optimization with inverse barrier constraint. IEEE Transactions on Power Electronics. 27(9): pp.3975-3983.

Wei, H., Cong, J., Lingyun, X. & Deyun, S. 2011. Extracting solar cell model parameters based on chaos particle swarm algorithm. In Electric International Conference on Information and Control Engineering (ICEICE).

Macabebe, E. Q. B., Sheppard, C. J. & van Dyk, E. E. 2011. Parameter extraction from I–V characteristics of PV devices. Solar Energy. 85(1):12-18.

.El-Naggar, K.M., AlRashidi, M.R., AlHajri, M.F. & Al-Othman, A.K. 2012. Simulated Annealing algorithm for photovoltaic parameters identification. Solar Energy. 86(1):266-74.

Ma, J., Ting, T. O., Man, K. L., Zhang, N., Guan, S. U. & Wong, P. W. 2013. Parameter estimation of photovoltaic models via cuckoo search. Journal of Applied Mathematics.

Tan, K.C., Chiam, S. C., Mamun, A. A. & Goh, C.K. 2009. Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. European Journal of Operational Research 197(2):701–713.

Shi, Y. & Eberhart, R. C. 1999. Empirical study of particle swarm optimization. In Evolutionary Computation, Congress on Proceedings of the CEC 99.

Karaboga, D. 2005. An idea based on honey bee swarm for numerical optimization. Technical report-tr06, Erciyes university, engineering faculty, computer engineering department.

Brano, V. L., Orioli, A., Ciulla, G. & Di Gangi, A. 2010. An improved five-parameter model for photovoltaic modules. Solar Energy Materials and Solar Cells. 94(8):1358-1370.

Villalva, M. G., Gazoli, J. R. & Ruppert Filho, E. 2009. Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Transactions on power electronics. 24(5):1198-1208.

De Soto, W., Klein, S. A., & Beckman, W. A.2006. Improvement and validation of a model for photovoltaic array performance. Solar energy. 80(1):78-88.

Easwarakhanthan, T., Bottin, J., Bouhouch, I. & Boutrit, C. 1986. Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers. International Journal of Solar Energy. 4(1):1-12.

A.Slaoui,Électricité Photovoltaïque – Principes, Éditions Techniques de l'Ingénieur traité Génie énergétique,2013, BE 8578v2.1–14(inFrench).

T.Dittrich. 2014. Materials Concepts For Solar Cells, in, Energy Futures, Imperial College Press, Shelton Street, Covent Garden, London WC2H 9HE,England.

S.Astier,Conversionphotovoltaïque:durayonnementsolaireàlacellule,ÉditionsTechniquesdel’ingénieuOptiquePhotonique,Électronique-Automatique,2008,D3935.1–20 (inFrench)

Siddiqui, M. U., Arif, A. F. M., Bilton, A. M., Dubowsky, S. & Elshafei, M. 2013. An improved electric circuit model for photovoltaic modules based on sensitivity analysis. Solar Energy. 90:29-42.

Bensalem, S. & Chegaar, M. 2013. Thermal behavior of parasiti cresistances of poly crystalline silicon solar cells. Rev.Énerg.Renouv, 16(1):171-176.

Bayhan, H. & Kavasoglu, A. S. 2007. Exact analytical solution of the diode ideality factor of a pn junction device using Lambert W-function model. Turkish Journal of Physics.31(1):7-10.

Chan, D.S.H., Phillips, J.R. & Phang, J.C.H. 1986. Comparative study of extraction methods for solar cell model parameters. Solid-State Electronics. 29 (3):329–337.

Sánchez Barroso, J.C., Barth, N., Correia, J., Ahzi, S. & Khaleel, M.A. 2015. computational analysis of coupled thermal and electrical behavior of PV panels. Solar Energy Materials and Solar Cells. 148:73-86.

King, D.L., Kratochvil, J.A., & Boyson., W. E. 2004. Photovoltaic Array Performance Model. Sandia Report, Department of Energy, Sandia National.

Yang X.S. & Deb. 2009. Cuckoo search via Lévy flights. In Nature and Biologically Inspired Computing, , IEEE on World Congress NaBIC.

Mirjalili, S., Mirjalili, S.M. & Lewis, A. 2014. Grey wolf optimizer. Advances in Engineering Software. 69:46-61.

Chan, D. S., & Phang, J. C., 1987. Analytical methods for the extraction of solar-cell single-and double-diode model parameters from IV characteristics. IEEE Transactions on Electron devices. 34(2):286-293.

Easwarakhanthan, T., Bottin, J., Bouhouch, I. & Boutrit, C. 1986. Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers. International Journal of Solar Energy. 4(1):1-12.

Bouzidi, K; Chegaar, M. & Nehaoua, N. 2007. New methods to extract the parameters of solar cells from their illuminated I-V curve. Proceedings of the 4th International Conference on Computer Integrated Manufacturing, S´etif, Algeria.

Yoon, Y. & WooGeem, Z. 2015. Parameter optimization of single-diode model of photovoltaic cell using memetic algorithm. International journal of photon energy.


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