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| Main Authors: | , , , , , , , |
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| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2023
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.18324303 |
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Table of Contents:
- The design of a PV system involves establishing a PV model that faithfully and accurately reproduces the actual behaviour of the system under various conditions. The accuracy of this model is proportional to the parameters extracted by optimization methods, generally metaheuristic methods. Referring to the literature, we have identified two methods for calculating the estimated current based on the objective function. The first step was to determine the most efficient method for calculating the estimated current, with a view to obtaining the most consistent and accurate solutions. The algorithms used were Monarch Butterfly Optimization and Social Spider Optimization. Experimental data from the RTC France solar cell were used in this case study. The main results show that the iterative method based on the Lambert function for calculating the estimated current in the objective function provides more accurate and precise solutions than the approximate method using the measured current to determine the estimated current. What's more, the Monarch Butterfly Optimization algorithm provides more accurate solutions than many other methods in the literature.