An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions
Author
Source
International Journal of Photoenergy
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This study is aimed at providing a comparison between fuzzy systems and convectional P&O for tracking MPP of a PV system.
MATLAB/Simulink is used to investigate the response of both algorithms.
Several weather conditions are simulated: (i) uniform irradiation, (ii) sudden changing, and (iii) partial shading.
Under partial shading on a PV panel, multipeaks appeared in P-V characteristics of the panel.
Simulation results showed that a fuzzy controller effectively finds MPP for all weather condition scenarios.
Furthermore, simulation results obtained from the FLC are compared with those obtained from the P&O controller.
The comparison shows that the fuzzy logic controller exhibits a much better behavior.
American Psychological Association (APA)
Bataineh, Khaled M.. 2018. An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions. International Journal of Photoenergy،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1174001
Modern Language Association (MLA)
Bataineh, Khaled M.. An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions. International Journal of Photoenergy No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1174001
American Medical Association (AMA)
Bataineh, Khaled M.. An Intelligent Maximum Power Point Using a Fuzzy Log Controller under Severe Weather Conditions. International Journal of Photoenergy. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1174001
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1174001