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

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 1 (2023)

DOI
10.11591/ijece.v13i1.pp69-84
ISSN
2722-2578, 2088-8708
Published
2023-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

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 low-cost calculators.

Collaboration network of the authors

16 authors · 48 co-authorship links · 35 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Chittagong University of Engineering & Technology
  • National Polytechnic School
  • University of Malaya
  • Renewable Energy Development Center
  • University of Sciences and Technology Houari Boumediene
  • American International University-Bangladesh
  • University Mohamed Boudiaf of M'sila
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Noureddine BouarroudjRenewable Energy Development Center1
Boualam BenlahbibUniversity of Sciences and Technology Houari Boumediene1
Farid BouchafaaUniversity of Sciences and Technology Houari Boumediene1
Lilik Jamilatul AwalinUniversitas Airlangga1
Aditta ChowdhuryChittagong University of Engineering & Technology1
Monirul Islam MiskatChittagong University of Engineering & Technology1
Tofael AhmedChittagong University of Engineering & Technology1
Shameem AhmadAmerican International University-Bangladesh1
Md. Rifat HazariAmerican International University-Bangladesh1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>A fast and accurate global maximum power point tracking controller for photovoltaic systems under complex partial shadings</dc:title><dc:creator>Atoui, Adil</dc:creator><dc:creator>Kermadi, Mostefa</dc:creator><dc:creator>Seghir Boucherit, Mohamed</dc:creator><dc:creator>Benmansour, Khelifa</dc:creator><dc:creator>Barkat, Said</dc:creator><dc:creator>Akel, Fethi</dc:creator><dc:creator>Mekhilef, Saad</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;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 &amp;lt;br /&amp;gt; low-cost calculators.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i1.pp69-84</dc:identifier><dc:identifier>10.11591/ijece.v13i1.pp69-84</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 1 (2023); 69</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/27605/16176</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>