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Adaptive P&O algorithm for fast and acurate maximum power point tracking for PV system

International Journal of Applied Power Engineering (IJAPE) · Vol. 15 No. 2 (2026) · hlm. 590–599

DOI
10.11591/ijape.v15.i2.pp590-599
ISSN
2722-2624, 2252-8792
Terbit
2026-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

In this study, we proposed an adaptive perturb and observe (P&O) algorithm designed for efficient maximum power point tracking (MPPT) in photovoltaic (PV) systems. This method addresses key challenges in solar energy systems, including variability in solar irradiation and partial shading conditions. The proposed method introduced a dynamic and adaptive in adjusting the step size of the P&O as it nears the maximum power point (MPP), enhancing tracking precision and reducing energy losses. To show the ability of the proposed, we compared it with the conventional P&O and GWO & P&O. The proposed adaptive P&O MPPT algorithm consistently maintains near ideal tracking efficiency of ≈99.7% across various irradiance scenarios, significantly outperforming conventional P&O, which drops to 74.45% under partial shading. Overall, it achieves an average efficiency of 99.71%, surpassing hybrid P&O GWO (99.52%) and conventional P&O (91.30%), demonstrating superior reliability and energy harvesting performance. The results indicated that the proposed could reduce power deviations and obtain greater accuracy in detecting MPP. The study confirms the method's potential for optimizing energy extraction and suggests further refinement for broader applicability. This advancement represents a significant step in enhancing the reliability and efficiency of PV systems in both grid-connected and off-grid applications.

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  • Universitas Syiah Kuala
  • Universitas Islam Negeri Ar-Raniry
  • Poltekkes Kemenkes Banjarmasin
  • Sunan Kalijaga State Islamic University Yogyakarta
  • Universitas Islam Negeri Sumatera Utara
  • Universitas Islam Negeri Alauddin Makassar
  • Institut Agama Islam Negeri Bone
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Rekan penulisOrganisasiArtikel bersama
Fitri ArniaUniversitas Syiah Kuala4
Khairul MunadiUniversitas Syiah Kuala4
Yuwaldi AwayUniversitas Syiah Kuala2
Malahayati MalahayatiUniversitas Islam Negeri Ar-Raniry2
Laila SholehahPoltekkes Kemenkes Banjarmasin2
Aprianti ApriantiPoltekkes Kemenkes Banjarmasin2
Chairunnisa DjayadinSunan Kalijaga State Islamic University Yogyakarta1
Khairan ARUniversitas Islam Negeri Ar-Raniry1
Mawardi MawardiUniversitas Islam Negeri Ar-Raniry1
Malahayati UmarUniversitas Islam Negeri Ar-Raniry1
Mouliza AstariUniversitas Islam Negeri Ar-Raniry1
Fathiah FathiahUniversitas Islam Negeri Ar-Raniry1
Arika Dhien SartikaAfiliasi tidak diketahui1
Muhammad Rizal FachriUniversitas Islam Negeri Ar-Raniry1
Habibi AkbarUniversitas Syiah Kuala1
Ramdhan Halid SiregarUniversitas Syiah Kuala1
Rika Sri UtamiUniversitas Syiah Kuala1
Mahdi SyukriUniversitas Syiah Kuala1
Nurhayati NurhayatiUniversitas Islam Negeri Sumatera Utara1
Abdullah AbdullahUniversitas Islam Negeri Ar-Raniry1
Fadli Andi NatsifUniversitas Islam Negeri Alauddin Makassar1
Hasbi SiddikInstitut Agama Islam Negeri Bone1
Rizka RamadhanaUniversitas Almuslim1
Niken Widyastuti HariatiPoltekkes Kemenkes Banjarmasin1
Niken Widyastuti HartatiPoltekkes Kemenkes Banjarmasin1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijape.iaescore.com/index.php/IJAPE/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Adaptive P&amp;O algorithm for fast and acurate maximum power point tracking for PV system</dc:title>
	<dc:creator>Fathurrahman, Fathurrahman</dc:creator>
	<dc:creator>Utami, Rika Sri</dc:creator>
	<dc:creator>Akhyar, Akhyar</dc:creator>
	<dc:creator>Saddami, Khairun</dc:creator>
	<dc:subject xml:lang="en-US">adaptive P&amp;O; maximum power point tracking; partial shading; photovoltaic; PV system</dc:subject>
	<dc:description xml:lang="en-US">In this study, we proposed an adaptive perturb and observe (P&amp;amp;O) algorithm designed for efficient maximum power point tracking (MPPT) in photovoltaic (PV) systems. This method addresses key challenges in solar energy systems, including variability in solar irradiation and partial shading conditions. The proposed method introduced a dynamic and adaptive in adjusting the step size of the P&amp;amp;O as it nears the maximum power point (MPP), enhancing tracking precision and reducing energy losses. To show the ability of the proposed, we compared it with the conventional P&amp;amp;O and GWO &amp;amp; P&amp;amp;O. The proposed adaptive P&amp;amp;O MPPT algorithm consistently maintains near ideal tracking efficiency of ≈99.7% across various irradiance scenarios, significantly outperforming conventional P&amp;amp;O, which drops to 74.45% under partial shading. Overall, it achieves an average efficiency of 99.71%, surpassing hybrid P&amp;amp;O GWO (99.52%) and conventional P&amp;amp;O (91.30%), demonstrating superior reliability and energy harvesting performance. The results indicated that the proposed could reduce power deviations and obtain greater accuracy in detecting MPP. The study confirms the method's potential for optimizing energy extraction and suggests further refinement for broader applicability. This advancement represents a significant step in enhancing the reliability and efficiency of PV systems in both grid-connected and off-grid applications.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2026-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijape.iaescore.com/index.php/IJAPE/article/view/21706</dc:identifier>
	<dc:identifier>10.11591/ijape.v15.i2.pp590-599</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Applied Power Engineering (IJAPE); Vol 15, No 2: June 2026; 590-599</dc:source>
	<dc:source>2722-2624</dc:source>
	<dc:source>2252-8792</dc:source>
	<dc:source>10.11591/ijape.v15.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijape.iaescore.com/index.php/IJAPE/article/view/21706/13445</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Fathurrahman, Rika Sri Utami, Akhyar, Khairun Saddami</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>