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Gurgi, Z. K., Ismael, A. I., Mejeed, R. A.. (1403). The Comparing Between Genetic Algorithm and Neural Network to Compute of Three-Basic Solar Cell Parameters with Wide Range of Measured Temperature. سامانه مدیریت نشریات علمی, 12(2), 134-141. doi: 10.22098/joape.2023.10704.1774
Z. K. Gurgi; A. I. Ismael; R. A. Mejeed. "The Comparing Between Genetic Algorithm and Neural Network to Compute of Three-Basic Solar Cell Parameters with Wide Range of Measured Temperature". سامانه مدیریت نشریات علمی, 12, 2, 1403, 134-141. doi: 10.22098/joape.2023.10704.1774
Gurgi, Z. K., Ismael, A. I., Mejeed, R. A.. (1403). 'The Comparing Between Genetic Algorithm and Neural Network to Compute of Three-Basic Solar Cell Parameters with Wide Range of Measured Temperature', سامانه مدیریت نشریات علمی, 12(2), pp. 134-141. doi: 10.22098/joape.2023.10704.1774
Gurgi, Z. K., Ismael, A. I., Mejeed, R. A.. The Comparing Between Genetic Algorithm and Neural Network to Compute of Three-Basic Solar Cell Parameters with Wide Range of Measured Temperature. سامانه مدیریت نشریات علمی, 1403; 12(2): 134-141. doi: 10.22098/joape.2023.10704.1774

The Comparing Between Genetic Algorithm and Neural Network to Compute of Three-Basic Solar Cell Parameters with Wide Range of Measured Temperature

Journal of Operation and Automation in Power Engineering
مقاله 4، دوره 12، شماره 2، 2024، صفحه 134-141    اصل مقاله (978.3 K)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.10704.1774
نویسندگان
Z. K. Gurgi* ؛ A. I. Ismael؛ R. A. Mejeed
Departement of Electrical power and Machine Engineering, College of Engineering, Diyala University, Iraq
چکیده
Solar cell efficiency considers an important part of the PV system, the parameters (Io, IL, n, Rs, and Rsh) of solar cell is the main part that effected on efficiency. The Matlab simulation program was used to estimate the three parameters' optimization values and evaluated by the Fminsearch method, they calculated for solar cells measured from 0oC to 100oC for seven temperatures, then make comparing for the results between the Genetic Algorithm method with Neural Network Algorithm. This paper establishes the results are frequently in GA was better than NNA, with the Io being 3.0992 e-7 and IL being 3.8059 found by GA. GA is good if they have the same population size and number of iterations. The value of the objective function (fval) in GA is 0.002856 but in NNA is 0.005518. And also second objective function (fvaltemp) in GA is 0.1035 with a 0.1069 value in NNA. From the side, the execution time considers in the Fminsearch method is less than NNA and GA that being 64.9 s, 781 s, and 289 s respectively.
کلیدواژه‌ها
Genetic algorithm؛ Neural network؛ Solar cell
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