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Enhancing photovoltaic system maximum power point tracking with fuzzy logic-based perturb and observe method

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 3 (2024)

DOI
10.11591/ijece.v14i3.pp2386-2399
ISSN
2722-2578, 2088-8708
Published
2024-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Photovoltaic systems have emerged as a promising energy resource that caters to the future needs of society, owing to their renewable, inexhaustible, and cost-free nature. The power output of these systems relies on solar cell radiation and temperature. In order to mitigate the dependence on atmospheric conditions and enhance power tracking, a conventional approach has been improved by integrating various methods. To optimize the generation of electricity from solar systems, the maximum power point tracking (MPPT) technique is employed. To overcome limitations such as steady-state voltage oscillations and improve transient response, two traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb and observe (P&O), have been modified. This research paper aims to simulate and validate the step size of the proposed modified P&O and FLC techniques within the MPPT algorithm using MATLAB/Simulink for efficient power tracking in photovoltaic systems.

Collaboration network of the authors

17 authors · 40 co-authorship links · 23 across different organisations

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

  • Universiti Teknologi MARA
  • University of Technology Malaysia
  • Universiti Teknikal Malaysia Melaka
  • Sidi Mohamed Ben Abdellah University
  • Universitas Ahmad Dahlan
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Athirah Batrisyia Kamal AriffinUniversiti Teknologi MARA3
Wan Noraishah Wan Abdul MunimUniversiti Teknologi MARA3
Abdul Rashid HusainUniversity of Technology Malaysia2
Nor Syaza Farhana Mohamad MuradUniversiti Teknikal Malaysia Melaka2
Tole SutiknoUniversitas Ahmad Dahlan1
Sahazati Md RozaliUniversiti Teknikal Malaysia Melaka1
Mohamad Noh AhmadUniversity of Technology Malaysia1
Zaharuddin MohamedUniversity of Technology Malaysia1
Nor Erne Nazira Binti BazinUniversity of Technology Malaysia1
Norlee Husnafeza AhmadUniversiti Teknologi MARA1
Yusrina YusofUniversiti Teknologi MARA1
Arni Munira MarkomUniversiti Teknologi MARA1

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>Enhancing photovoltaic system maximum power point tracking with fuzzy logic-based perturb and observe method</dc:title><dc:creator>Aziz Jafar, Muhammad Ihsan</dc:creator><dc:creator>Zakaria, Muhammad Iqbal</dc:creator><dc:creator>Dahlan, Nofri Yenita</dc:creator><dc:creator>Kamarudin, Muhammad Nizam</dc:creator><dc:creator>El Fezazi, Nabil</dc:creator><dc:description>&lt;jats:p&gt;Photovoltaic systems have emerged as a promising energy resource that caters to the future needs of society, owing to their renewable, inexhaustible, and cost-free nature. The power output of these systems relies on solar cell radiation and temperature. In order to mitigate the dependence on atmospheric conditions and enhance power tracking, a conventional approach has been improved by integrating various methods. To optimize the generation of electricity from solar systems, the maximum power point tracking (MPPT) technique is employed. To overcome limitations such as steady-state voltage oscillations and improve transient response, two traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb and observe (P&amp;amp;amp;O), have been modified. This research paper aims to simulate and validate the step size of the proposed modified P&amp;amp;amp;O and FLC techniques within the MPPT algorithm using MATLAB/Simulink for efficient power tracking in photovoltaic systems.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2024-06-01</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.v14i3.pp2386-2399</dc:identifier><dc:identifier>10.11591/ijece.v14i3.pp2386-2399</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 14 No 3 (2024); 2386</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/33548/17334</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>