An improved modeling method to determine the model parameters of photovoltaic (PV) modules using differential evolution (DE)

Solar Energy

Volumn 85, Issue 9, 2011, Pages 2349-2359

  Ishaque, Kashif ^a   Salam, Zainal ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Differential evolution (DE); Mono crystalline; Multi crystalline; Photovoltaic (PV) module; Thin film

Indexed keywords

DATA SHEETS; DIFFERENTIAL EVOLUTION; MODEL PARAMETERS; MODELING APPROACH; MODELING METHOD; MODELING TECHNIQUE; MONO-CRYSTALLINE; MULTI-CRYSTALLINE; PHOTOVOLTAIC MODULES; PV MODULES; SERIES RESISTANCES; TEMPERATURE VARIATION;

CRYSTALLINE MATERIALS; EVOLUTIONARY ALGORITHMS;

PHOTOVOLTAIC EFFECTS;

ACCURACY ASSESSMENT; COMPUTER SIMULATION; DATA SET; IRRADIANCE; MANUFACTURING; MODEL VALIDATION; NUMERICAL MODEL; PARAMETERIZATION; PERFORMANCE ASSESSMENT; PHOTOVOLTAIC SYSTEM; RADIATION BALANCE; SOLAR POWER; SOLAR RADIATION; TEMPERATURE EFFECT;

EID: 80051597713     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2011.06.025     Document Type: Article

References (45)

1. Almonacid F., Rus C., et al. Characterisation of Si-crystalline PV modules by artificial neural networks. Renewable Energy 2009, 34(4):941-949.
2. Almonacid F., Rus C., et al. Characterisation of PV CIS module by artificial neural networks. A comparative study with other methods. Renewable Energy 2010, 35(5):973-980.
3. Balzani, M., Reatti, A., 2005. Neural network based model of a PV array for the optimum performance of PV system. Research in Microelectronics and Electronics, 2005 PhD.
4. Carrero C., Amador J., et al. A single procedure for helping PV designers to select silicon PV modules and evaluate the loss resistances. Renewable Energy 2007, 32(15):2579-2589.
5. Chegaar M., Ouennoughi Z., et al. A new method for evaluating illuminated solar cell parameters. Solid-State Electronics 2001, 45(2):293-296.
6. Chenni R., Makhlouf M., et al. A detailed modeling method for photovoltaic cells. Energy 2007, 32(9):1724-1730.
7. De Soto W., Klein S.A., et al. Improvement and validation of a model for photovoltaic array performance. Solar Energy 2006, 80(1):78-88.
8. Deb S., Ghosh B. Series resistance and optimum grid design for a thin film solar cell of rectangular shape. Solar Cells 1984, 13(2):145-162.
9. Elshatter, T. F., M. E. Elhagree, et al. (1997). Fuzzy Modeling and Simulation of Photovoltaic. In: 14th European Photovoltaic Solar Energy Conference. Spain.
10. Gow J.A., Manning C.D. Development of a photovoltaic array model for use in power-electronics simulation studies. IEE Proceedings - Electric Power Applications 1999, 146(2):193-200.
11. Guimard, D., Grand, P.P., et al., 2002. Copper indium diselenide solar cells prepared by electrodeposition. In: Photovoltaic Specialists Conference, 2002. Conference Record of the Twenty-Ninth IEEE.
12. Ishaque K., Salam Z., et al. Simple, fast and accurate two-diode model for photovoltaic modules. Solar Energy Materials and Solar Cells 2011, 95(2):586-594.
13. Ishaque K., Salam Z., et al. A critical evaluation of EA computational methods for Photovoltaic cell parameter extraction based on two diode model. Solar Energy 2011, 85(9):1768-1779.
14. Jervase J.A., et al. Solar cell parameter extraction using genetic algorithms. Measurement Science and Technology 2001, 12(11):1922.
15. Ji M., Jin Z., et al. An improved simulated annealing for solving the linear constrained optimization problems. Applied Mathematics and Computation 2006, 183(1):251-259.
16. Kajihara, A., Harakawa, A.T., 2005. Model of photovoltaic cell circuits under partial shading. In: IEEE International Conference on Industrial Technology, 2005. ICIT 2005.
17. Karatepe E., Boztepe M., et al. Neural network based solar cell model. Energy Conversion and Management 2006, 47(9-10):1159-1178.
18. Kassis A., Saad M. Fill factor losses in ZnO/CdS/CuGaSe2 single-crystal solar cells. Solar Energy Materials and Solar Cells 2003, 80(4):491-499.
19. Kassis A., Saad M. Analysis of multi-crystalline silicon solar cells at low illumination levels using a modified two-diode model. Solar Energy Materials and Solar Cells 2010, 94(12):2108-2112.
20. Khan F., Singh S.N., et al. Effect of illumination intensity on cell parameters of a silicon solar cell. Solar Energy Materials and Solar Cells 2010, 94(9):1473-1476.
21. Khouzam, K., L. Cuong, et al. (1994). Simulation and real-time modelling of space photovoltaic systems. In: 1994 IEEE First World Conference on Photovoltaic Energy Conversion, 1994. Conference Record of the Twenty Fourth. IEEE Photovoltaic Specialists Conference - 1994.
22. Kim W., Choi W. A novel parameter extraction method for the one-diode solar cell model. Solar Energy 2010, 84(6):1008-1019.
23. King, D.L., Sandia's PV Module Electrical Performance Model (Version, 2000), September 5.
24. Matagne, E., Chenni, R., et al., 2007. A photovoltaic cell model based on nominal data only. In: 2007 International Conference on Power Engineering, Energy and Electrical Drives POWERENG 2007.
25. Mellit A., Benghanem M., et al. Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: proposition for a new sizing procedure. Renewable Energy 2007, 32(2):285-313.
26. Michalewicz Z., Schoenauer M. Evolutionary algorithms for constrained parameter optimization problems. Evolutionary Computation 1996, 4(1):1-32.
27. Moldovan, N., Picos, R., et al., 2009. Parameter extraction of a solar cell compact model usign genetic algorithms. In: Spanish Conference on Electron Devices 2009. CDE 2009.
28. Nishioka K., Sakitani N., et al. Analysis of multicrystalline silicon solar cells by modified 3-diode equivalent circuit model taking leakage current through periphery into consideration. Solar Energy Materials and Solar Cells 2007, 91(13):1222-1227.
29. Price K.V., Storn R.M., et al. Differential Evolution A Practical Approach to Global Optimization 2005, Springer.
30. Priyanka, Lal M., et al. A new method of determination of series and shunt resistances of silicon solar cells. Solar Energy Materials and Solar Cells 2007, 91(2-3):137-142.
31. Sera, D., Teodorescu, R., et al., 2007. PV panel model based on datasheet values. In: IEEE International Symposium on Industrial Electronics, 2007. ISIE 2007.
32. Sharma S.K., et al. Overcoming the problems in determination of solar cell series resistance and diode factor. Journal of Physics D: Applied Physics 1990, 23(9):1256.
33. Shell, Shell Solar Product Information Sheet. http://www.solarcellsales.com/techinfo/technical_docs.cfm.
34. Shengyi L., Dougal R.A. Dynamic multiphysics model for solar array. IEEE Transactions on Energy Conversion 2002, 17(2):285-294.
35. Singh P., Singh S.N., et al. Temperature dependence of I-V characteristics and performance parameters of silicon solar cell. Solar Energy Materials and Solar Cells 2008, 92(12):1611-1616.
36. Sites J.R., Mauk P.H. Diode quality factor determination for thin-film solar cells. Solar cells 1989, 27(1-4):411-417.
37. Storn R., Price K. Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization 1997, 11(4):341-359.
38. Stutenbaeumer U., Mesfin B. Equivalent model of monocrystalline, polycrystalline and amorphous silicon solar cells. Renewable Energy 1999, 18(4):501-512.
39. Syafaruddin, Karatepe, E., et al., 2010. Development of Real-Time Simulator Based on Intelligent Techniques for Maximum Power Point Controller of Photovoltaic System, vol. 6(4), p. 20.
40. Villalva M.G., Gazoli J.R., et al. Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Transactions on Power Electronics 2009, 24(5):1198-1208.
41. Walker G. Evaluating MPPT converter topologies using a MATLAB PV model. Journal of Electrical & Electronics Engineering Australia 2001, 21(1):8.
42. Weidong, X., Dunford, W.G., et al., 2004. A novel modeling method for photovoltaic cells. In: 2004 IEEE 35th Annual Power Electronics Specialists Conference, 2004. PESC 04.
43. Ye M., Wang X., et al. Parameter extraction of solar cells using particle swarm optimization. Journal of Applied Physics 2009, 105(9):94502-94508.
44. Yun Tiam T., Kirschen D.S., et al. A model of PV generation suitable for stability analysis. IEEE Transactions on Energy Conversion 2004, 19(4):748-755.
45. Zwe-Lee G. A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Transactions on Energy Conversion 2004, 19(2):384-391.