Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm
The global demand for renewable energy is growing, and one of the proposed solutions to this energy crisis is the use of photovoltaic systems. So far, they are a reliable solution, as they are nonpolluting and can be used almost anywhere on the planet. However, the design and development of more eff...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2021/4343203 |
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| author | Ndongmo Fotsa Nicaire Perabi Ngoffe Steve Ndjakomo Essiane Salome Abessolo Ondoua Grégroire |
| author_facet | Ndongmo Fotsa Nicaire Perabi Ngoffe Steve Ndjakomo Essiane Salome Abessolo Ondoua Grégroire |
| author_sort | Ndongmo Fotsa Nicaire |
| collection | DOAJ |
| description | The global demand for renewable energy is growing, and one of the proposed solutions to this energy crisis is the use of photovoltaic systems. So far, they are a reliable solution, as they are nonpolluting and can be used almost anywhere on the planet. However, the design and development of more efficient photovoltaic cells and modules require an accurate extraction of their intrinsic parameters. Up to date, metaheuristic algorithms have proven to be the best methods to obtain accurate values of these intrinsic parameters. Hence, to extract these parameters reliably and accurately, this paper presents an optimization method based on the principle of bald eagle search (BES) during fish hunting. This search is divided into three steps: in the first stage (space selection), the eagle selects the space with the largest number of prey; in the second stage (space search), the eagle moves into the selected space to search for prey; in the third stage (dive), the eagle swings from the best position identified in the second stage and determines the best point to hunt. Thus, we used the proposed BES algorithm to determine the parameters of the single-diode model (SDM), the double-diode model (DDM), and the PV modules. This algorithm converges very quickly and gives a root mean square error (RMSE) of 9.8602e−04 for the single-diode model and 9.8248e−4 for the dual-diode model. The results obtained show that the proposed algorithm is more efficient than the other methods available in the literature, in terms of the better accuracy of the results obtained. The good harmony of the I-V and P-V characteristic curve of the calculated parameters with that of the measured data from a PV module/cell data sheet proves that the proposed BES should be used among the methods provided in the literature for the identification of PV solar cell parameters. |
| format | Article |
| id | doaj-art-3bfc130066334165bf878ea9b2478ce8 |
| institution | Kabale University |
| issn | 1687-529X |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-3bfc130066334165bf878ea9b2478ce82025-02-03T05:49:26ZengWileyInternational Journal of Photoenergy1687-529X2021-01-01202110.1155/2021/4343203Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) AlgorithmNdongmo Fotsa Nicaire0Perabi Ngoffe Steve1Ndjakomo Essiane Salome2Abessolo Ondoua Grégroire3Laboratory of Applied Science Technology (LTSA)Laboratory of Applied Science Technology (LTSA)Laboratory of Applied Science Technology (LTSA)Ecosystems and Fisheries Resources LaboratoryThe global demand for renewable energy is growing, and one of the proposed solutions to this energy crisis is the use of photovoltaic systems. So far, they are a reliable solution, as they are nonpolluting and can be used almost anywhere on the planet. However, the design and development of more efficient photovoltaic cells and modules require an accurate extraction of their intrinsic parameters. Up to date, metaheuristic algorithms have proven to be the best methods to obtain accurate values of these intrinsic parameters. Hence, to extract these parameters reliably and accurately, this paper presents an optimization method based on the principle of bald eagle search (BES) during fish hunting. This search is divided into three steps: in the first stage (space selection), the eagle selects the space with the largest number of prey; in the second stage (space search), the eagle moves into the selected space to search for prey; in the third stage (dive), the eagle swings from the best position identified in the second stage and determines the best point to hunt. Thus, we used the proposed BES algorithm to determine the parameters of the single-diode model (SDM), the double-diode model (DDM), and the PV modules. This algorithm converges very quickly and gives a root mean square error (RMSE) of 9.8602e−04 for the single-diode model and 9.8248e−4 for the dual-diode model. The results obtained show that the proposed algorithm is more efficient than the other methods available in the literature, in terms of the better accuracy of the results obtained. The good harmony of the I-V and P-V characteristic curve of the calculated parameters with that of the measured data from a PV module/cell data sheet proves that the proposed BES should be used among the methods provided in the literature for the identification of PV solar cell parameters.http://dx.doi.org/10.1155/2021/4343203 |
| spellingShingle | Ndongmo Fotsa Nicaire Perabi Ngoffe Steve Ndjakomo Essiane Salome Abessolo Ondoua Grégroire Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm International Journal of Photoenergy |
| title | Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm |
| title_full | Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm |
| title_fullStr | Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm |
| title_full_unstemmed | Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm |
| title_short | Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm |
| title_sort | parameter estimation of the photovoltaic system using bald eagle search bes algorithm |
| url | http://dx.doi.org/10.1155/2021/4343203 |
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