Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel
This paper presents a two-way optimization of the Perturb & Observe (P&O) maximum power point tracking (MPPT) technique using current correction and fuzzy logic techniques. In fact, photovoltaic (PV) energy has become more and more coveted today. In the future, it will become a necessity. To...
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doaj-805a588fdedb4cee8eeb058b251e8b872021-02-02T05:13:15ZengEDP SciencesInternational Journal for Simulation and Multidisciplinary Design Optimization1779-62882019-01-0110A610.1051/smdo/2019007smdo180001Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panelOurahou MeriemAyrir WiamHaddi AliThis paper presents a two-way optimization of the Perturb & Observe (P&O) maximum power point tracking (MPPT) technique using current correction and fuzzy logic techniques. In fact, photovoltaic (PV) energy has become more and more coveted today. In the future, it will become a necessity. To ensure its optimization, maximum operating point tracking method is considered as a technological key in PV systems. One of the most used MPPT methods is the P&O technique. In this paper, we will focus on optimizing this method based on two techniques. A first attempt has been made to estimate a current correction of the P&O algorithm in case of illumination variation. Then, fuzzy logic optimization attempt had been highlighted to improve power loss. It is shown that both proposed techniques are very effective and allow considerable improvement of accuracy and are less affected by sudden variation of climatic parameters. The proposed approaches are tested via Matlab software and compared the classical P&O algorithm. Through applications, we could conclude that the two optimized proposed methods offer a remarkable improvement concerning power losses.https://www.ijsmdo.org/articles/smdo/full_html/2019/01/smdo180001/smdo180001.htmlMPPTPerturb & Observe algorithmFuzzy logicCurrent correctionPhotovoltaic energy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ourahou Meriem Ayrir Wiam Haddi Ali |
spellingShingle |
Ourahou Meriem Ayrir Wiam Haddi Ali Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel International Journal for Simulation and Multidisciplinary Design Optimization MPPT Perturb & Observe algorithm Fuzzy logic Current correction Photovoltaic energy |
author_facet |
Ourahou Meriem Ayrir Wiam Haddi Ali |
author_sort |
Ourahou Meriem |
title |
Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel |
title_short |
Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel |
title_full |
Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel |
title_fullStr |
Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel |
title_full_unstemmed |
Current correction and fuzzy logic optimizations of Perturb & Observe MPPT technique in photovoltaic panel |
title_sort |
current correction and fuzzy logic optimizations of perturb & observe mppt technique in photovoltaic panel |
publisher |
EDP Sciences |
series |
International Journal for Simulation and Multidisciplinary Design Optimization |
issn |
1779-6288 |
publishDate |
2019-01-01 |
description |
This paper presents a two-way optimization of the Perturb & Observe (P&O) maximum power point tracking (MPPT) technique using current correction and fuzzy logic techniques. In fact, photovoltaic (PV) energy has become more and more coveted today. In the future, it will become a necessity. To ensure its optimization, maximum operating point tracking method is considered as a technological key in PV systems. One of the most used MPPT methods is the P&O technique. In this paper, we will focus on optimizing this method based on two techniques. A first attempt has been made to estimate a current correction of the P&O algorithm in case of illumination variation. Then, fuzzy logic optimization attempt had been highlighted to improve power loss. It is shown that both proposed techniques are very effective and allow considerable improvement of accuracy and are less affected by sudden variation of climatic parameters. The proposed approaches are tested via Matlab software and compared the classical P&O algorithm. Through applications, we could conclude that the two optimized proposed methods offer a remarkable improvement concerning power losses. |
topic |
MPPT Perturb & Observe algorithm Fuzzy logic Current correction Photovoltaic energy |
url |
https://www.ijsmdo.org/articles/smdo/full_html/2019/01/smdo180001/smdo180001.html |
work_keys_str_mv |
AT ourahoumeriem currentcorrectionandfuzzylogicoptimizationsofperturbobservemppttechniqueinphotovoltaicpanel AT ayrirwiam currentcorrectionandfuzzylogicoptimizationsofperturbobservemppttechniqueinphotovoltaicpanel AT haddiali currentcorrectionandfuzzylogicoptimizationsofperturbobservemppttechniqueinphotovoltaicpanel |
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