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International Journal of Electrical and Computer Engineering (IJECE)
Article . 2023 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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Article . 2023
License: CC BY
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A fast and accurate global maximum power point tracking controller for photovoltaic systems under complex partial shadings

Authors: Adil Atoui; Mostefa Kermadi; Mohamed Seghir Boucherit; Khelifa Benmansour; Said Barkat; Fethi Akel; Saad Mekhilef;

A fast and accurate global maximum power point tracking controller for photovoltaic systems under complex partial shadings

Abstract

<span lang="EN-US">The operating conditions of partially shaded photovoltaic (PV) generators created a need to develop highly efficient global maximum power point tracking (GMPPT) methods to increase the PV system performance. This paper proposes a simple, efficient, and fast GMPPT based on fuzzy logic control to reach the point of global maximum power. The approach measures the PV generator current in the areas where it is almost constant to estimate the local maximums powers and extracts the highest among them. The performance of this method is evaluated firstly by simulation versus four well-known recent methods, namely the hybrid particle swarm optimization, modified cuckoo search, scrutinization fast algorithm, and shade-tolerant maximum power point tracking (MPPT) based on current-mode control. Then, experimental verification is conducted to verify the simulation findings. The results confirm that the proposed method exhibits high performance for complex partial irradiances and can be implemented in <br /> low-cost calculators.</span>

Keywords

Partial shading conditions, Global maximum power point tracking, Photovoltaic systems

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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