A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions
Photovoltaic solar energy is one of the most important renewable energy sources. However, the production of this energy is nonlinear and varies depending on atmospheric parameters. Therefore, the operating point of the photovoltaic panel (PV) does not always coincide with the maximum power point (MP...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2020/1956410 |
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| author | Arnaud Flanclair Tchouani Njomo Godpromesse Kenne Rostand Marc Douanla Lionel Leroy Sonfack |
| author_facet | Arnaud Flanclair Tchouani Njomo Godpromesse Kenne Rostand Marc Douanla Lionel Leroy Sonfack |
| author_sort | Arnaud Flanclair Tchouani Njomo |
| collection | DOAJ |
| description | Photovoltaic solar energy is one of the most important renewable energy sources. However, the production of this energy is nonlinear and varies depending on atmospheric parameters. Therefore, the operating point of the photovoltaic panel (PV) does not always coincide with the maximum power point (MPP). A mechanism that allows the research of the maximum power point known as maximum power point tracking (MPPT) algorithm is then needed to yield the maximum power permanently. This paper presents an intelligent control technique based on the ESC (Extremum Seeking Control) method for MPPT under varying environmental conditions. The proposed technique is an improvement of the classical ESC algorithm with an additional loop in order to increase the convergence speed. A detailed stability analysis is given not only to ensure a faster convergence of the system towards an adjustable neighborhood of the optimum point but also to confirm a better robustness of the proposed method. In addition, simulation results using Matlab/Simulink environment and experimental results using Arduino board are presented to demonstrate that the proposed modified ESC method performs better than the classical ESC under varying atmospheric conditions. |
| format | Article |
| id | doaj-art-9781fca6f06e44a2bd5d66e615137505 |
| institution | OA Journals |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-9781fca6f06e44a2bd5d66e6151375052025-08-20T02:09:52ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2020-01-01202010.1155/2020/19564101956410A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental ConditionsArnaud Flanclair Tchouani Njomo0Godpromesse Kenne1Rostand Marc Douanla2Lionel Leroy Sonfack3Unité de Recherche de Matière Condensée, d’Electronique et de Traitement de Signal (UR-MACETS), Département de Physique, Faculté des Sciences, Université de Dschang, B.P. 69 Dschang, CameroonUnité de Recherche d’Automatique et d’Informatique Appliquée (UR-AIA), Département de Génie Electrique IUT FOTSO Victor Bandjoun, Université de Dschang, B.P. 134 Bandjoun, CameroonUnité de Recherche de Matière Condensée, d’Electronique et de Traitement de Signal (UR-MACETS), Département de Physique, Faculté des Sciences, Université de Dschang, B.P. 69 Dschang, CameroonUnité de Recherche de Matière Condensée, d’Electronique et de Traitement de Signal (UR-MACETS), Département de Physique, Faculté des Sciences, Université de Dschang, B.P. 69 Dschang, CameroonPhotovoltaic solar energy is one of the most important renewable energy sources. However, the production of this energy is nonlinear and varies depending on atmospheric parameters. Therefore, the operating point of the photovoltaic panel (PV) does not always coincide with the maximum power point (MPP). A mechanism that allows the research of the maximum power point known as maximum power point tracking (MPPT) algorithm is then needed to yield the maximum power permanently. This paper presents an intelligent control technique based on the ESC (Extremum Seeking Control) method for MPPT under varying environmental conditions. The proposed technique is an improvement of the classical ESC algorithm with an additional loop in order to increase the convergence speed. A detailed stability analysis is given not only to ensure a faster convergence of the system towards an adjustable neighborhood of the optimum point but also to confirm a better robustness of the proposed method. In addition, simulation results using Matlab/Simulink environment and experimental results using Arduino board are presented to demonstrate that the proposed modified ESC method performs better than the classical ESC under varying atmospheric conditions.http://dx.doi.org/10.1155/2020/1956410 |
| spellingShingle | Arnaud Flanclair Tchouani Njomo Godpromesse Kenne Rostand Marc Douanla Lionel Leroy Sonfack A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions International Journal of Photoenergy |
| title | A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions |
| title_full | A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions |
| title_fullStr | A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions |
| title_full_unstemmed | A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions |
| title_short | A Modified ESC Algorithm for MPPT Applied to a Photovoltaic System under Varying Environmental Conditions |
| title_sort | modified esc algorithm for mppt applied to a photovoltaic system under varying environmental conditions |
| url | http://dx.doi.org/10.1155/2020/1956410 |
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