Abstract
Swarm intelligence based technique has been used in this work for the estimation of parameters of photovoltaic cells using the two-diode model of the photovoltaic cell. Particle Swarm Optimization algorithm was used to fit the calculated current–voltage characteristics of the photovoltaic cells to the experimental one. The estimated parameters were the generated photocurrent, saturation currents, series resistance, shunt resistance and ideality factors. The proposed approach was validated using industrial photovoltaic cells.
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References
K. Bouzidi, M. Chegaar, A. Bouhemadou, “Solar cells parameters evaluation considering the series and shunt resistance”, Solar Energy Materials and Solar Cells, 91(18), 1647–1651 (2007)
M. Chegaar, Z. Ouennoughi, F. Guechi, “Extracting dc parameters of solar cells under illumination”, Vacuum, 75 (4), 367–372 (2004)
M. Haouari-Merbah, M. Belhamel, I. Tobías, J.M. Ruiz, “Extraction and analysis of solar cell parameters from the illuminated current–voltage curve”, Solar Energy Materials and Solar Cells, 87 (1–4), 225-233 (2005), ISSN 0927-0248, 10.1016/j.solmat.2004.07.019.
M. Tivanov, A. Patryn, N. Drozdov, A. Fedotov, A. Mazanik, “Determination of solar cell parameters from its current–voltage and spectral characteristics”, Solar Energy Materials and Solar Cells, 87 (1–4), 457-465 (2005), ISSN 0927-0248, 10.1016/j.solmat.2004.07.033.
A. Ortiz-Conde, F.J. Garcia Sanchez, J. Muci, “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), 352–36(2006),1
Joseph A Jervase, HadjBourdoucen and Ali Al-Lawati, “Solar cell parameter extraction using genetic algorithms”, Measurement Science and Technology,12,1922-1925 (2001)
M.R. AlRashidi, M.F. AlHajri, K.M. El-Naggar, A.K. Al-Othman, “A new estimation approach for determining the I–V characteristics of solar cells”, Solar Energy, 85 (7), 1543-1550 (2011)
M.F. AlHajri, K.M. El-Naggar, M.R. AlRashidi, A.K. Al-Othman, “Optimal extraction of solar cell parameters using pattern search”, Renewable Energy,44,238-245 (2012)
Hengsi Qin; Kimball, J.W., “Parameter determination of Photovoltaic Cells from field testing data using particle swarm optimization”,Power and Energy Conference at Illinois (PECI), 25-26 Feb. 2011 IEEE, pp.1-4(2011)
Bai, Qinghai. “Analysis of particle swarm optimization algorithm”, Computer and Information Science, 3 (1): 180(2010).
L. Sandrolini, M. Artioli, U. Reggiani, “Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis”, Applied Energy, 87 (2), 442 451 (2010)
SilkeSteingrube, OtwinBreitenstein, Klaus Ramspeck, StefanGlunz, Andreas Schenk, and Pietro P. Altermatt, “Explanation of commonly observed shunt currents in c-Si solar cells by means of recombination statistics beyond the Shockley-Read-Hall approximation”, Journal of Applied Physics,110(1), 014515 - 014515-10 (2011)
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Khanna, V., Das, B.K., Bisht, D., Vandana, Singh, P.K. (2014). Estimation of Photovoltaic Cells Model Parameters using Particle Swarm Optimization. In: Jain, V., Verma, A. (eds) Physics of Semiconductor Devices. Environmental Science and Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-03002-9_98
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DOI: https://doi.org/10.1007/978-3-319-03002-9_98
Publisher Name: Springer, Cham
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