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Hybrid maximum power point tracking algorithm with improved dynamic performance

delete2019-01-01
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PRE
AI
M
Milad Bahrami
R
Roghayeh Gavagsaz‐Ghoachani *
M
Majid Zandi
M
Matheepot Phattanasak
G
Gaël Maranzana
B
Babak Nahid‐Mobarakeh
S
Serge Pierfederici
F
Farid Meibody‐Tabar
DOI:10.1016/j.renene.2018.07.020delete
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Abstract

Abstract

En 中文
In light of the low efficiency of photovoltaic (PV) panels and varying environmental conditions, it is necessary to develop methods for maximum power extraction of PV panels in any environmental conditions. Here, a new hybrid method is proposed for maximum power point tracking (MPPT). The fuzzy logic control-based method is very fast and accurate but difficult to implement. In addition, this method depends on PV arrays. The three-point weight method is another MPPT method that does not compromise on the maximum power point under fast transient conditions. The advantages of both methods are utilized in the proposed method. Furthermore, the overall complexity is decreased by simplifying the fuzzy logic part. The three methods were experimentally validated and, in addition, were numerically simulated in Matlab. (C) 2018 Elsevier Ltd. All rights reserved.
Keywords:
Photovoltaic
Maximum power point tracking
Fuzzy logic
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Journal

Renewable Energy cover
Renewable Energy
IF:
9.1
Papers:
2.6W
Citations:
12.1W

Organization

C
centre national de la recherche scientifique (cnrs)
Scholars:
24.5W
Papers: 18.2W
Citations: 279
S
Shahid Beheshti University
Scholars:
7.6K
Papers: 6.8K
Citations: 6.9K
U
universite de lorraine
Scholars:
1.8W
Papers: 1.4W
Citations: 27
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