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Comparison between incremental conductance and perturb and observe algorithms in photovoltaic system under low temperature and irradiation levels

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 5 (2024)

DOI
10.11591/ijece.v14i5.pp4897-4906
ISSN
2722-2578, 2088-8708
Published
2024-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This paper compares two mostly used maximum power point tracking (MPPT) methods, perturb and observe (P&O), and incremental conductance (INC), for a photovoltaic (PV) system integrated with a step-up converter and resistive load. The evaluation was conducted using MATLAB/Simulink under two specific environmental conditions: low irradiation and temperature levels. The results indicate that under irradiation levels below 200 W/m², the INC algorithm outperforms P&O by exhibiting minimal fluctuations and achieving higher efficiency. Conversely, under low temperature (below 25 °C) the P&O method reaches the highest efficiency, exceeding 99%. These findings highlight the importance of selecting the appropriate MPPT algorithm based on specific environmental conditions to optimize the energy output of PV systems.

Collaboration network of the authors

3 authors · 3 co-authorship links

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  • Cadi Ayyad University
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  • Same organisation
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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 1 Nov 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>Comparison between incremental conductance and perturb and observe algorithms in photovoltaic system under low temperature and irradiation levels</dc:title><dc:creator>Abssane, Sara</dc:creator><dc:creator>Outzourhit, Abdelkader</dc:creator><dc:creator>Amatoul, Fatima Zahra</dc:creator><dc:description>&lt;jats:p&gt;This paper compares two mostly used maximum power point tracking (MPPT) methods, perturb and observe (P&amp;amp;amp;O), and incremental conductance (INC), for a photovoltaic (PV) system integrated with a step-up converter and resistive load. The evaluation was conducted using MATLAB/Simulink under two specific environmental conditions: low irradiation and temperature levels. The results indicate that under irradiation levels below 200 W/m², the INC algorithm outperforms P&amp;amp;amp;O by exhibiting minimal fluctuations and achieving higher efficiency. Conversely, under low temperature (below 25 °C) the P&amp;amp;amp;O method reaches the highest efficiency, exceeding 99%. These findings highlight the importance of selecting the appropriate MPPT algorithm based on specific environmental conditions to optimize the energy output of PV systems.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2024-10-01</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.v14i5.pp4897-4906</dc:identifier><dc:identifier>10.11591/ijece.v14i5.pp4897-4906</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 14 No 5 (2024); 4897</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/35441/17750</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>