Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller
The Maximum Power Point Tracking (MPPT) strategy is commonly used to maximize the produced power from photovoltaic generators. In this paper, we proposed a control method with a fuzzy logic approach that offers significantly high performance to get a maximum power output tracking, which entails a ma...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/11/12/3263 |
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| author | Gul Filiz Tchoketch Kebir Cherif Larbes Adrian Ilinca Thameur Obeidi Selma Tchoketch Kebir |
| author_facet | Gul Filiz Tchoketch Kebir Cherif Larbes Adrian Ilinca Thameur Obeidi Selma Tchoketch Kebir |
| author_sort | Gul Filiz Tchoketch Kebir |
| collection | DOAJ |
| description | The Maximum Power Point Tracking (MPPT) strategy is commonly used to maximize the produced power from photovoltaic generators. In this paper, we proposed a control method with a fuzzy logic approach that offers significantly high performance to get a maximum power output tracking, which entails a maximum speed of power achievement, a good stability, and a high robustness. We use a fuzzy controller, which is based on a special choice of a combination of inputs and outputs. The choice of inputs and outputs, as well as fuzzy rules, was based on the principles of mathematical analysis of the derived functions (slope) for the purpose of finding the optimum. Also, we have proved that we can achieve the best results and answers from the system photovoltaic (PV) with the simplest fuzzy model possible by using only 3 sets of linguistic variables to decompose the membership functions of the inputs and outputs of the fuzzy controller. We compare this powerful controller with conventional perturb and observe (P&O) controllers. Then, we make use of a Matlab-Simulink<sup>®</sup> model to simulate the behavior of the PV generator and power converter, voltage, and current, using both the P&O and our fuzzy logic-based controller. Relative performances are analyzed and compared under different scenarios for fixed or varied climatic conditions. |
| first_indexed | 2024-04-11T13:24:30Z |
| format | Article |
| id | doaj.art-431fc441d897424493fbbcedb2ee4ea3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:24:30Z |
| publishDate | 2018-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-431fc441d897424493fbbcedb2ee4ea32022-12-22T04:22:07ZengMDPI AGEnergies1996-10732018-11-011112326310.3390/en11123263en11123263Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy ControllerGul Filiz Tchoketch Kebir0Cherif Larbes1Adrian Ilinca2Thameur Obeidi3Selma Tchoketch Kebir4Wind Energy Research Laboratory, Université du Québec à Rimouski, 300, Allée des Ursulines, Rimouski, QC G5L 3A1, CanadaLaboratoire des Dispositifs de Communication et de Conversion Photovoltaïque, Département d’Électronique, École Nationale Polytechnique, 10, Avenue Hassen Badi, El Harrach, Alger 16200, AlgerieWind Energy Research Laboratory, Université du Québec à Rimouski, 300, Allée des Ursulines, Rimouski, QC G5L 3A1, CanadaWind Energy Research Laboratory, Université du Québec à Rimouski, 300, Allée des Ursulines, Rimouski, QC G5L 3A1, CanadaLaboratoire des Dispositifs de Communication et de Conversion Photovoltaïque, Département d’Électronique, École Nationale Polytechnique, 10, Avenue Hassen Badi, El Harrach, Alger 16200, AlgerieThe Maximum Power Point Tracking (MPPT) strategy is commonly used to maximize the produced power from photovoltaic generators. In this paper, we proposed a control method with a fuzzy logic approach that offers significantly high performance to get a maximum power output tracking, which entails a maximum speed of power achievement, a good stability, and a high robustness. We use a fuzzy controller, which is based on a special choice of a combination of inputs and outputs. The choice of inputs and outputs, as well as fuzzy rules, was based on the principles of mathematical analysis of the derived functions (slope) for the purpose of finding the optimum. Also, we have proved that we can achieve the best results and answers from the system photovoltaic (PV) with the simplest fuzzy model possible by using only 3 sets of linguistic variables to decompose the membership functions of the inputs and outputs of the fuzzy controller. We compare this powerful controller with conventional perturb and observe (P&O) controllers. Then, we make use of a Matlab-Simulink<sup>®</sup> model to simulate the behavior of the PV generator and power converter, voltage, and current, using both the P&O and our fuzzy logic-based controller. Relative performances are analyzed and compared under different scenarios for fixed or varied climatic conditions.https://www.mdpi.com/1996-1073/11/12/3263fuzzy logic controllerMPPT: maximum power point trackingphotovoltaic systemstep-up boost converter |
| spellingShingle | Gul Filiz Tchoketch Kebir Cherif Larbes Adrian Ilinca Thameur Obeidi Selma Tchoketch Kebir Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller Energies fuzzy logic controller MPPT: maximum power point tracking photovoltaic system step-up boost converter |
| title | Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller |
| title_full | Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller |
| title_fullStr | Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller |
| title_full_unstemmed | Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller |
| title_short | Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller |
| title_sort | study of the intelligent behavior of a maximum photovoltaic energy tracking fuzzy controller |
| topic | fuzzy logic controller MPPT: maximum power point tracking photovoltaic system step-up boost converter |
| url | https://www.mdpi.com/1996-1073/11/12/3263 |
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