Adaptive Neuro-Fuzzy Inference System-based Improvement of Perturb and Observe Maximum Power Point Tracking Method for Photovoltaic Systems
This paper presents a maximum power point (MPP) tracking method based on a hybrid combination between the fuzzy logic controller (FLC) and the conventional Perturb-and-Observe (P&O) method. The proposed algorithm utilizes the FLC to initialize P&O algorithm with an initial duty cycle. MATLA...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2017-09-01.
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| LEADER | 01979 am a22002653u 4500 | ||
|---|---|---|---|
| 001 | IJPEDS_8377_7031 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Bataineh, Khaled |e author |
| 700 | 1 | 0 | |a Taamneh, Yazan |e author |
| 245 | 0 | 0 | |a Adaptive Neuro-Fuzzy Inference System-based Improvement of Perturb and Observe Maximum Power Point Tracking Method for Photovoltaic Systems |
| 260 | |b Institute of Advanced Engineering and Science, |c 2017-09-01. | ||
| 500 | |a https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/8377 | ||
| 520 | |a This paper presents a maximum power point (MPP) tracking method based on a hybrid combination between the fuzzy logic controller (FLC) and the conventional Perturb-and-Observe (P&O) method. The proposed algorithm utilizes the FLC to initialize P&O algorithm with an initial duty cycle. MATLAB/Simulink models consisting of, the photovoltaic system, boost converter and controllers, are built to evaluate the performance of the proposed algorithm. To accurately illustrate the performance of the proposed algorithm, comparisons with standalone FLC and P&O are carried out. The performance of the proposed algorithm is investigated difficult weather conditions including sudden changes and partial shading. The results showed that the proposed algorithm successfully reaches MPP in all scenarios. | ||
| 540 | |a Copyright (c) 2017 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a eng | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 8, No 3: September 2017; 1327-1334 | |
| 786 | 0 | |n 2722-256X | |
| 786 | 0 | |n 2088-8694 | |
| 786 | 0 | |n 10.11591/ijpeds.v8.i3 | |
| 787 | 0 | |n https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/8377/7031 | |
| 856 | 4 | 1 | |u https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/8377/7031 |z Get Fulltext |