Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm
This paper represents a novel modeling technique of PV module with a fuzzy logic based MPPT algorithm and boost converter in Simulink environment. The prime contributions of this work are simplification of PV modeling technique and implementation of fuzzy based MPPT system to track maximum power eff...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2013/762946 |
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| _version_ | 1832564946321276928 |
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| author | Hasan Mahamudul Mekhilef Saad Metselaar Ibrahim Henk |
| author_facet | Hasan Mahamudul Mekhilef Saad Metselaar Ibrahim Henk |
| author_sort | Hasan Mahamudul |
| collection | DOAJ |
| description | This paper represents a novel modeling technique of PV module with a fuzzy logic based MPPT algorithm and boost converter in Simulink environment. The prime contributions of this work are simplification of PV modeling technique and implementation of fuzzy based MPPT system to track maximum power efficiently. The main highlighted points of this paper are to demonstrate the precise control of the duty cycle with respect to various atmospheric conditions, illustration of PV characteristic curves, and operation analysis of the converter. The proposed system has been applied for three different PV modules SOLKAR 36 W, BP MSX 60 W, and KC85T 87 W. Finally the resultant data has been compared with the theoretical prediction and company specified value to ensure the validity of the system. |
| format | Article |
| id | doaj-art-3add70bf98624c749c4a5129fcfb8954 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-3add70bf98624c749c4a5129fcfb89542025-02-03T01:09:51ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2013-01-01201310.1155/2013/762946762946Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking AlgorithmHasan Mahamudul0Mekhilef Saad1Metselaar Ibrahim Henk2Faculty of Engineering, University of Malaya, 50670 Kuala Lumpur, MalaysiaFaculty of Engineering, University of Malaya, 50670 Kuala Lumpur, MalaysiaFaculty of Engineering, University of Malaya, 50670 Kuala Lumpur, MalaysiaThis paper represents a novel modeling technique of PV module with a fuzzy logic based MPPT algorithm and boost converter in Simulink environment. The prime contributions of this work are simplification of PV modeling technique and implementation of fuzzy based MPPT system to track maximum power efficiently. The main highlighted points of this paper are to demonstrate the precise control of the duty cycle with respect to various atmospheric conditions, illustration of PV characteristic curves, and operation analysis of the converter. The proposed system has been applied for three different PV modules SOLKAR 36 W, BP MSX 60 W, and KC85T 87 W. Finally the resultant data has been compared with the theoretical prediction and company specified value to ensure the validity of the system.http://dx.doi.org/10.1155/2013/762946 |
| spellingShingle | Hasan Mahamudul Mekhilef Saad Metselaar Ibrahim Henk Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm International Journal of Photoenergy |
| title | Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm |
| title_full | Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm |
| title_fullStr | Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm |
| title_full_unstemmed | Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm |
| title_short | Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm |
| title_sort | photovoltaic system modeling with fuzzy logic based maximum power point tracking algorithm |
| url | http://dx.doi.org/10.1155/2013/762946 |
| work_keys_str_mv | AT hasanmahamudul photovoltaicsystemmodelingwithfuzzylogicbasedmaximumpowerpointtrackingalgorithm AT mekhilefsaad photovoltaicsystemmodelingwithfuzzylogicbasedmaximumpowerpointtrackingalgorithm AT metselaaribrahimhenk photovoltaicsystemmodelingwithfuzzylogicbasedmaximumpowerpointtrackingalgorithm |