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Fuzzy Estimation Analysis of Photovoltaic Model Parameters

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DOI: 10.4236/jpee.2015.37007    2,412 Downloads   2,865 Views   Citations
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ABSTRACT

One of the challenges in accurately estimating Photovoltaic (PV) cell electric performance is the uncertainty of the model equivalent circuit parameters. The parameters considered in the study are the series resistance, shunt resistance, photo current, saturation current, and diode ideality factor. Parameter estimation for the PV cell equivalent circuit model is challenging due to the implicit transcendental relationship of the I-V characteristics of the cell. This paper presents a fuzzy logic based study for estimating the uncertainty of the cell parameters. The model parameters change with temperature and irradiance, are the source of uncertainties. Mathematical programming is used to estimate the fuzzy parameters. The approach is performed on practical data and the results of the analysis provide the estimation of the PV cell parameters. Results of this research yielding better estimated parameters compared with other methods using the Absolute Mean Error (AME).

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Al-Hamadi, H. (2015) Fuzzy Estimation Analysis of Photovoltaic Model Parameters. Journal of Power and Energy Engineering, 3, 39-43. doi: 10.4236/jpee.2015.37007.

References

[1] Renewables 2010 Global Status Report. 2010. http://www.rona.unep.org/documents/news/Renewables-GlobalStatusReport2010_pre-release_en_full.pdf
[2] Adamo, F., Attivissimo, F., Di Nisio, A. and Spadavecchia, M. (2011) Characterization and Testing of a Tool for Photovoltaic Panel Modeling. IEEE Transactions on Instrumentation and Measurement, 60, 1613-1622. http://dx.doi.org/10.1109/TIM.2011.2105051
[3] Villalva, M.G., Gazoli, J.R. and Filho, E.R. (2009) Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays. IEEE Transactions on Power Electronics, 24, 1198-1208. http://dx.doi.org/10.1109/TPEL.2009.2013862
[4] Ikegami, T., Maezono, T., Nakanishi, F., Yamagata, Y. And Ebihara, K. (2001) Estimation of Equivalent Circuit Para- meters of PV Module and Its Application to Optimal Operation of PV System. Solar Energy Materials and Solar Cells, 67, 389-395. http://dx.doi.org/10.1016/S0927-0248(00)00307-X
[5] El-Naggar, K.M., Al Rashidi, M.R., Al Hajri, M.F. and Al-Othman, A.K. (2012) Simulated Annealing Algorithm for Photovoltaic Parameters Identification. Solar Energy Journal, 86, 266-274.
[6] Munji, M.K., Okullo, W., Van Dyk, E.E. and Vorster, F.J. (2010) Local Device Parameter Extraction of a Concentrator Photovoltaic Cell under Solar Spot Illumination. Solar Energy Materials and Solar Cells Journal, 94, 2129-2136. http://dx.doi.org/10.1016/j.solmat.2010.06.041
[7] Bonanno, F., Capizzi, G., Graditi, G., Napoli, C. and Tina, G.M. (2012) A Radial Basis Function Neural Network Based Approach for the Electrical Characteristics Estimation of Aphotovoltaic Module. Applied Energy, 97, 956-961. http://dx.doi.org/10.1016/j.apenergy.2011.12.085
[8] Xiao, W., Lind, M.G.J., Dunford, W.G. and Capel, A. (2006) Real-Time Identification of Optimal Operating Points in Photovoltaic Power Systems. IEEE Transactions on Industrial Electronics, 53, 1017-1026. http://dx.doi.org/10.1109/TIE.2006.878355
[9] Ye, M., Wang, X. and Xu, Y. (2009) Parameter Extraction of Solar Cells Using Particle Swarm Optimization. Journal of Applied Physics, 105, 094502-094508. http://dx.doi.org/10.1063/1.3122082
[10] Qin, H.S. and Kimball, J.W. (2011) Parameter Determination of Photovoltaic Cells from Field Testing Data Using Particle Swarm Optimization. IEEE Power and Energy Conference at Illinois (PECI), 1-4.
[11] Petcut F.M. and Dragomir, T.L. (2010) Solar Cell Parameter Identification Using Genetic Lgorithms. Journal of Control Engineering and Applied Informatics, 12, 30-37.
[12] Attivissimo, F., Di Nisio, A., Savino, M. and Sapada Vecchia, M. (2012) Uncertainty Analysis in Photovoltaic Cell Parameter Estimation. IEEE Transactions on Instrumentation and Measurement, 61, 1334-1342.
[13] Ishaque, K., Salam, Z., Taheri, H. and Shamsudin, A. (2011) Parameter Extraction of Photovoltaic Cell Using Differential Evolution Method. IEEE Applied Power Electronics Colloquium (IAPEC), 10-15.
[14] Kalika, S., Rajaji, L. and Gupta, S. (2012) Intelligent Technique Based Modeling for PVPS. International Journal of Engineering and Innovative Technology (IJEIT), 2, 211-215.
[15] Kulaksiz, A.A. (2011) ANFIS-Based Parameter Estimation of One Diode Equivalent Circuit Model of PV Modules. Proc. IEEE International Symposium on Computational Intelligence and Informatics (CINTI), 415-420.
[16] Easwarakhanthan, T., Bottin, J., Bouhouch, I. and Boutrit, C. (1986) Nonlinear Minimization Algorithm for Determining the Solar Cell Parameters with Microcomputers. International Journal of Solar Energy, 4, 1-12. http://dx.doi.org/10.1080/01425918608909835
[17] Bouzidi, K., Chegaar, M. and Nehaoua, N. (2007) New Methods to Extract the Parameters of Solar Cells from Their Illuminated I-V Curve. 4th International Conference on Computer Integrated Manufacturing Setif, Algeria.
[18] Sherali, H.D. and Alameddine, A. (1992) A New Reformulation-Linearization Technique for Bilinear Programming Problems. Journal of Global Optimization, 2, 379-410. http://dx.doi.org/10.1007/BF00122429
[19] Sherali, H.D. (2001) On Mixed-Integer Zero-One Representations for Separable Lower-Semicontinuous Piecewise-Linear Function. Operation Research Journal, 28, 155-160. http://dx.doi.org/10.1016/s0167-6377(01)00063-3

  
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