Effect of Parasitic Parameters and Environmental Conditions on I-V and P-V Characteristics of 1D5P Model Solar PV Cell Using LTSPICE-IV
Abstract
In this research work, the electrical simulation of 1D5P model solar cell is done using LTSpice-IV simulation software. In this work effect of environmental conditions i.e temperature, solar irradiance, and parasitic parameters i.e series as well as shunt resistances was carried out. It has been discovered that as temperature increases the performance of solar cell decrease because temperature causes to increase the recombination phenomenon and hence lower the performance. However, when the temperature rises from 00C to 500C, the I-V and P-V curves move to the origin showing the negative effect of increasing temperature on the solar cell. Solar irradiance has major role on the performance of solar cell. As solar irradiance increases from 250 Wm-2 to 1000 Wm-2, the performance of solar cell increases accordingly and I-V as well as P-V curve moves away from the origin. It is concluded that for different series resistances, I-V along with P-V characteristic of 1D5P model solar cell varies, as at 0.02Ω series resistance, a maximum short circuit current and maximum power is obtained. But when series resistance increased up 2 ohm only, the I-V and P-V curves moves to origin drastically. Shunt Resistance is the path of reverse current of the cell. As the shunt resistance increases, the path for reverse current decreased, hence all current goes to load, hence maximum power is obtained. Similarly when the value of shunt resistance decreased, the voltage-controlled section of I-V characteristics curve is moved closer to the origin hence reduced the solar cell performance. It's critical to understand how different factors affect the I-V and P-V characteristics curves of solar cells. The open circuit voltage, short circuit current and maximum power is all variable. The influence of these factors may be extremely beneficial when tracking highest power point of a solar cell applying various methods.
Downloads
References
W.M. Chen, H. Kim, and H. Yamaguchi, Renewable energy in eastern Asia: Renewable energy policy review and comparative SWOT analysis for promoting renewable energy in Japan, South Korea, and Taiwan, Energy Policy, 74, 319 (2014), https://doi.org/10.1016/j.enpol.2014.08.019
L. El Chaar, and N. El Zein, Review of photovoltaic technologies, Renewable and sustainable energy reviews, 15(5), 2165 (2011), https://doi.org/10.1016/j.rser.2011.01.004
R.N. Shaw, P. Walde, and A. Ghosh, Effects of solar irradiance on load sharing of integrated photovoltaic system with IEEE standard bus network, Int. J. Eng. Adv. Technol, 9(1), 424 (2019), http://www.doi.org/10.35940/ijeat.A9410.109119
D. Meneses-Rodrı́guez, P.P. Horley, J. Gonzalez-Hernandez, Y.V. Vorobiev, and P.N. Gorley, Photovoltaic solar cells performance at elevated temperatures, Solar energy, 78(2), 243 (2005), https://doi.org/10.1016/j.solener.2004.05.016
M.A. Rahman, S. Hasan, and M.J. Ferdous, An Investigation into efficiency improvement of thin film solar cell (Doctoral dissertation, Department of Electrical, Electronics and Communication Engineering (EECE), (MIST, 2011).
T. Ahmad, S. Sobhan, and M.F. Nayan, Comparative analysis between single diode and double diode model of PV cell: concentrate different parameters effect on its efficiency, Journal of Power and Energy Engineering, 4(3), 31 (2016), http://dx.doi.org/10.4236/jpee.2016.43004
S. Gallardo-Saavedra, and B. Karlsson, Simulation, validation and analysis of shading effects on a PV system, Solar Energy, 170, 828 (2018), https://doi.org/10.1016/j.solener.2018.06.035
S.P. Philipps, W. Guter, E. Welser, J. Schöne, M. Steiner, F. Dimroth, and A.W. Bett, in: Next Generation of Photovoltaics, edited by C.A. López, M.A. Vega, L.A. López, (Springer, Berlin, Heidelberg, 2012). pp. 1-21, https://doi.org/10.1007/978-3-642-23369-2_1
M. Karlsson, Comparison and evaluation of hardware modeling and simulation tools, M.Sc. Thesis, Jönköping Institute of Technology, 2011.
N. Sultana, M.A. Ahad, and K. Hassan, Simulation and Analysis of the Effect of Change of Different Parameters on the Characteristics of PV Cell Using LTspiceIV, International Journal of Science and Research, 4(2), 63 (2015), https://www.ijsr.net/archive/v4i2/SUB15942.pdf
D. Diouf, Y.M. Soro, A. Darga, and A.S. Maiga, Module parameter extraction and simulation with LTSpice software model in sub-Saharan outdoor conditions, African Journal of Environmental Science and Technology, 12(12), 523 (2018), https://doi.org/10.5897/AJEST2018.2566
R. Abbassi, A. Abbassi, M. Jemli, and S. Chebbi, Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches, Renewable and Sustainable Energy Reviews, 90, 453 (2018), https://doi.org/10.1016/j.rser.2018.03.011
P.A. Kumari, and P. Geethanjali, Parameter estimation for photovoltaic system under normal and partial shading conditions: A survey, Renewable and Sustainable Energy Reviews, 84, 1 (2018), https://doi.org/10.1016/j.rser.2017.10.051
V. Tamrakar, S.C. Gupta, and Y. Sawle, Study of characteristics of single and double diode electrical equivalent circuit models of solar PV module. In: International Conference on Energy Systems and Applications, (IEEE, 2015), pp. 312-317.
H.P. Gavin, https://people.duke.edu/~hpgavin/ce281/lm.pdf
F. Dkhichi, B. Oukarfi, A. Fakkar, and N. Belbounaguia, Parameter identification of solar cell model using Levenberg–Marquardt algorithm combined with simulated annealing, Solar Energy, 110, 781 (2014), http://dx.doi.org/10.1016%2Fj.solener.2014.09.033
E.M.G. Rodrigues, R. Melicio, V.M.F. Mendes, and J.P. Catalao, Simulation of a solar cell considering single-diode equivalent circuit model, in: International conference on renewable energies and power quality, (Spain, 2011), pp. 13-15.
V. Tamrakar, S.C. Gupta, and Y. Sawle, Study of characteristics of single and double diode electrical equivalent circuit models of solar PV module, in: International Conference on Energy Systems and Applications (IEEE, 2015), pp. 312-317.
Alternative Energy Tutorials, https://www.alternative-energy-tutorials.com/photovoltaics/solar-cell-i-v-characteristic.html.
B.V. Chikate, Y. Sadawarte, and B.D.C.O.E. Sewagram, The factors affecting the performance of solar cell, International journal of computer applications, 1(1), 0975 (2015), http://research.ijcaonline.org/icquest2015/number1/icquest2776.pdf
B.K. Dey, I. Khan, N. Mandal, and A. Bhattacharjee, (2016, October). Mathematical modelling and characteristic analysis of Solar PV Cell, in: 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), (IEEE, 2016), pp. 1-5.
Copyright (c) 2022 Muhammad Aamir Shafi, Muneeb Khan, Sumayya Bibi, Muhammad Yasir Shafi, Noreena Rabbani, Hanif Ullah, Laiq Khan, Bernabe Mari
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
