Extraction of photovoltaic module model's parameters using an improved hybrid differential evolution/electromagnetism-like algorithm

Solar Energy

Volumn 119, Issue , 2015, Pages 286-297

  Muhsen, Dhiaa Halboot ^a,b   Ghazali, Abu Bakar ^a   Khatib, Tamer ^c   Abed, Issa Ahmed ^d  

^a Universiti Tenaga Nasional   (Malaysia)

^b MUSTANSIRIYAH UNIVERSITY   (Iraq)

^c AN NAJAH NATIONAL UNIVERSITY   (Palestine)

^d SOUTHERN TECHNICAL UNIVERSITY   (Iraq)

Author keywords

DEAM; Evolutionary algorithm; Five parameters model; I V characteristic; Modeling of photovoltaic module

Indexed keywords

ALGORITHMS; EVOLUTIONARY ALGORITHMS; MEAN SQUARE ERROR; OPTIMIZATION; PARAMETER ESTIMATION; PHOTOVOLTAIC CELLS;

COEFFICIENT OF DETERMINATION; DEAM; FIVE PARAMETERS; HYBRID DIFFERENTIAL EVOLUTION; IMPROVED DIFFERENTIAL EVOLUTIONS; IV CHARACTERISTICS; PHOTOVOLTAIC MODULES; ROOT MEAN SQUARE ERRORS;

ITERATIVE METHODS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ELECTROMAGNETIC METHOD; ERROR ANALYSIS; EXPERIMENTAL STUDY; PHOTOVOLTAIC SYSTEM;

EID: 84937500751     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2015.07.008     Document Type: Article

References (53)

1. Askarzadeh A., Dos Santos Coelho L. Determination of photovoltaic modules parameters at different operating conditions using a novel bird mating optimizer approach. Energy Convers. Manage. 2015, 89:608-614.
2. Barukčić M., Hederić Ž., Špoljarić Ž. The estimation of I-V curves of PV panel using manufacturers' I-V curves and evolutionary strategy. Energy Convers. Manage. 2014, 88:447-458.
3. Bonanno F., Capizzi G., Graditi G., Napoli C., Tina G.M. A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module. Appl. Energy 2012, 97:956-961.
4. Brest J., Greiner S., Boskovic B., Mernik M., Zumer V. Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. Evol. Comput., IEEE Trans. 2006, 10:646-657.
5. Chan D.S.H., Phang J.C.H. Analytical methods for the extraction of solar-cell single- and double-diode model parameters from I-V characteristics. Electron Dev., IEEE Trans. 1987, 34:286-293.
6. Chauhan A., Saini R.P. A review on integrated renewable energy system based power generation for stand-alone applications: configurations, storage options, sizing methodologies and control. Renew. Sustain. Energy Rev. 2014, 38:99-120.
7. Chunjiang, Z., Liang, G. An effective improvement of JADE for real-parameter optimization. In: Proceedings Conference An Effective Improvement of Jade for Real-Parameter Optimization, 2013, pp. 58-63.
8. Ciulla G., Lo Brano V., Di Dio V., Cipriani G. A comparison of different one-diode models for the representation of I-V characteristic of a PV cell. Renew. Sustain. Energy Rev. 2014, 32:684-696.
9. Davis, M.W., Fanney, A.H., Dougherty, B.P. Measured versus predicted performance of building integrated photovoltaics. In: Proceedings Conference Measured Versus Predicted Performance of Building Integrated Photovoltaics, 2002, pp. 173-180.
10. Dizqah A.M., Maheri A., Busawon K. An accurate method for the PV model identification based on a genetic algorithm and the interior-point method. Renew. Energy 2014, 72:212-222.
11. Easwarakhanthan T., Bottin J., Bouhouch I., Boutrit C. Nonlinear minimization algorithm for determining the solar cell parameters with microcomputers. Int. J. Sol. Energy 1986, 4:1-12.
12. Elbaset A.A., Ali H., Abd-El Sattar M. Novel seven-parameter model for photovoltaic modules. Sol. Energy Mater. Sol. Cells 2014, 130:442-455.
13. Gong W., Cai Z. Parameter extraction of solar cell models using repaired adaptive differential evolution. Sol. Energy 2013, 94:209-220.
14. Hamid, A., Farhana, N., Rahim, N.A., Selvaraj, J. Solar cell parameters extraction using particle swarm optimization algorithm. In: Proceedings Conference Solar Cell Parameters Extraction Using Particle Swarm Optimization Algorithm, 2013, pp. 461-465.
15. Ishaque K., Salam Z., Taheri H., Shamsudin A. A critical evaluation of EA computational methods for photovoltaic cell parameter extraction based on two diode model. Sol. Energy 2011, 85:1768-1779.
16. Ishaque K., Salam Z., Mekhilef S., Shamsudin A. Parameter extraction of solar photovoltaic modules using penalty-based differential evolution. Appl. Energy 2012, 99:297-308.
17. Ismail M.S., Moghavvemi M., Mahlia T.M.I. Characterization of PV panel and global optimization of its model parameters using genetic algorithm. Energy Convers. Manage. 2013, 73:10-25.
18. Jiang L.L., Maskell D.L., Patra J.C. Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm. Appl. Energy 2013, 112:185-193.
19. Jingqiao Z., Sanderson A.C. Jade: adaptive differential evolution with optional external archive. Evol. Comput., IEEE Trans. 2009, 13:945-958.
20. Kadri R., Gaubert J.P., Champenois G. An improved maximum power point tracking for photovoltaic grid-connected inverter based on voltage-oriented control. Ind. Electron., IEEE Trans. 2011, 58:66-75.
21. Kaelo P., Ali M. Differential evolution algorithms using hybrid mutation. Comput. Optim. Appl. 2007, 37:231-246.
22. Karabacak K., Cetin N. Artificial neural networks for controlling wind-PV power systems: a review. Renew. Sustain. Energy Rev. 2014, 29:804-827.
23. Karamirad M., Omid M., Alimardani R., Mousazadeh H., Heidari S.N. Ann based simulation and experimental verification of analytical four- and five-parameters models of PV modules. Simul. Modell. Practice Theor. 2013, 34:86-98.
24. Karatepe E., Boztepe M., Colak M. Neural network based solar cell model. Energy Convers. Manage. 2006, 47:1159-1178.
25. Kaw A., Kalu E Eric, 2008. Numerical Methods with Applications: Abridged Second edition, 2001.
26. Khanna V., Das B.K., Bisht D., Vandana, Singh P.K. A three diode model for industrial solar cells and estimation of solar cell parameters using PSO algorithm. Renew. Energy 2015, 78:105-113.
27. Khare A., Rangnekar S. A review of particle swarm optimization and its applications in solar photovoltaic system. Appl. Soft Comput. 2013, 13:2997-3006.
28. Khatib T., Sopian K., Kazem H.A. Actual performance and characteristic of a grid connected photovoltaic power system in the tropics: a short term evaluation. Energy Convers. Manage. 2013, 71:115-119.
29. King, D., Boyson, W., Kratochvil, J., 2004. Photovoltaic Array Performance Model, Sandia National Laboratories, Paper nr. SAND2004-3844.
30. Lineykin S., Averbukh M., Kuperman A. An improved approach to extract the single-diode equivalent circuit parameters of a photovoltaic cell/panel. Renew. Sustain. Energy Rev. 2014, 30:282-289.
31. Liu J., Lampinen J. A fuzzy adaptive differential evolution algorithm. Soft Comput. 2005, 9:448-462.
32. Ma T., Yang H., Lu L. Development of a model to simulate the performance characteristics of crystalline silicon photovoltaic modules/strings/arrays. Sol. Energy 2014, 100:31-41.
33. Mallipeddi R., Suganthan P.N., Pan Q.K., Tasgetiren M.F. Differential evolution algorithm with ensemble of parameters and mutation strategies. Appl. Soft Comput. 2011, 11:1679-1696.
34. Moldovan, N., Picos, R., Garcia-Moreno, E. Parameter extraction of a solar cell compact model using genetic algorithms. In: Proceedings Conference Parameter Extraction of a Solar Cell Compact Model Using Genetic Algorithms, 2009, pp. 379-382.
35. Navabi R., Abedi S., Hosseinian S.H., Pal R. On the fast convergence modeling and accurate calculation of PV output energy for operation and planning studies. Energy Convers. Manage. 2015, 89:497-506.
36. Patra J.C. Chebyshev neural network-based model for dual-junction solar cells. Energy Convers., IEEE Trans. 2011, 26:132-139.
37. Patra J.C., Maskell D.L. Modeling of multi-junction solar cells for estimation of EQE under influence of charged particles using artificial neural networks. Renew. Energy 2012, 44:7-16.
38. Qin, A.K., Suganthan, P.N. Self-adaptive differential evolution algorithm for numerical optimization. In: Proceedings Conference Self-Adaptive Differential Evolution Algorithm for Numerical Optimization, 2005, pp. 1785-1791.
39. Sah C.-T., Noyce R.N., Shockley W. Carrier generation and recombination in PN junctions and PN junction characteristics. Proc. IRE 1957, 45:1228-1243.
40. Scarpa V., Buso S., Spiazzi G. Low-complexity MPPT technique exploiting the PV module MPP locus characterization. IEEE Trans. Ind. Electron. 2009, 56:1531-1538.
41. Sharma N., Varun Siddhartha. Stochastic techniques used for optimization in solar systems: a review. Renew. Sustain. Energy Rev. 2012, 16:1399-1411.
42. Siddiqui M.U., Abido M. Parameter estimation for five- and seven-parameter photovoltaic electrical models using evolutionary algorithms. Appl. Soft Comput. 2013, 13:4608-4621.
43. Singh G.K. Solar power generation by PV (photovoltaic) technology: a review. Energy 2013, 53:1-13.
44. Storn R., Price K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J. Glob. Optim. 1997, 11:341-359.
45. Tossa A.K., Soro Y.M., Azoumah Y., Yamegueu D. A new approach to estimate the performance and energy productivity of photovoltaic modules in real operating conditions. Sol. Energy 2014, 110:543-560.
46. Villalva M.G., Gazoli J.R., Filho E.R. Comprehensive approach to modeling and simulation of photovoltaic arrays. Power Electron., IEEE Trans. 2009, 24:1198-1208.
47. Vitaliy F. Differential Evolution-In Search of Solutions 2006, Springer, New York, Edited by Edited.
48. Walker G. Evaluating MPPT converter topologies using a Matlab PV model. J. Electr. Electron. Eng., Austr. 2001, 21:49-56.
49. Wei P., Yun Z., Hao G., Yong-Qing L., Yong-Hong Y., Wei H. Evolutionary algorithm and parameters extraction for dye-sensitized solar cells one-diode equivalent circuit model. Micro Nano Lett., IET 2013, 8:86-89.
50. Woodford, C., Phillips, C, 2011. Numerical methods with worked examples: Matlab edition, Springer Science & Business Media.
51. Ye M., Wang X., Xu Y. Parameter extraction of solar cells using particle swarm optimization. J. Appl. Phys. 2009, 105:094502.
52. Yuan X., Xiang Y., He Y. Parameter extraction of solar cell models using mutative-scale parallel chaos optimization algorithm. Sol. Energy 2014, 108:238-251.
53. Zagrouba M., Sellami A., Bouaïcha M., Ksouri M. Identification of PV solar cells and modules parameters using the genetic algorithms: application to maximum power extraction. Sol. Energy 2010, 84:860-866.