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Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm
Joint Authors
Ibrahim Henk, Metselaar
Saad, Mekhilef
Mahamudul, Hasan
Source
International Journal of Photoenergy
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mahamudul, Hasan& Saad, Mekhilef& Ibrahim Henk, Metselaar. 2013. Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm. International Journal of Photoenergy،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-496841
Modern Language Association (MLA)
Mahamudul, Hasan…[et al.]. Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm. International Journal of Photoenergy No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-496841
American Medical Association (AMA)
Mahamudul, Hasan& Saad, Mekhilef& Ibrahim Henk, Metselaar. Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm. International Journal of Photoenergy. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-496841
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496841