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Comparative performance analysis of MPPT algorithms for wind power generation: P&O, INC, and TSR methods

International Journal of Applied Power Engineering (IJAPE) · Vol. 15 No. 2 (2026) · pp. 894–904

DOI
10.11591/ijape.v15.i2.pp894-904
ISSN
2722-2624, 2252-8792
Published
2026-06-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Wind energy has great potential, especially in areas with high wind speeds such as Southeast Aceh. However, wind speed fluctuations reduce turbine efficiency, necessitating maximum power point tracking (MPPT) for optimization. This study compared three MPPT methods perturb and observe (P&O), incremental conductance (INC), and tip speed ratio (TSR) to identify the most effective technique. Using MATLAB Simulink, simulations were conducted with wind speed data from Southeast Aceh and a DC-DC boost converter. Results showed the P&O method performed best, producing 847.83 W at 10 m/s, compared to 702.40 W for INC and 324.35 W for TSR. P&O also achieved the highest current output, reaching 16.45 A, while INC and TSR produced 13.66 A and 6.34 A, respectively. At lower wind speeds, P&O continued to outperform the other methods. This study concludes that the P&O method is the most effective method to improve the efficiency of wind turbines in Southeast Aceh, while INC shows moderate performance and TSR is the least effective method due to fluctuating wind speeds in a short time, so that TSR cannot maintain its maximum value. Therefore, P&O is recommended as the optimal MPPT technique for wind power plants in this region.

Keywords

Collaboration network of the authors

30 authors · 77 co-authorship links · 18 across different organisations

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  • Universitas Sumatera Utara
  • Universiti Teknologi MARA
  • Kanazawa University
  • University of Technology Malaysia
  • Yangon Technological University
  • Malikussaleh University
  • University of Mataram
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Nur Nabila MohamedUniversiti Teknologi MARA4
Naemah MubarakahUniversitas Sumatera Utara2
Soeharwinto SoeharwintoUniversitas Sumatera Utara2
Timothy Juan Hartanto LumbanrajaUniversitas Sumatera Utara1
Yasunori TanakaKanazawa University1
Yanuar Zulardiansyah AriefUniversity of Technology Malaysia1
Maulaya MuhammadUniversitas Sumatera Utara1
Riswan DinziUniversitas Sumatera Utara1
Mai Kai Suan TialYangon Technological University1
Azrial Aziz Azhari NasutionUniversitas Sumatera Utara1
Farel SitumeangUniversitas Sumatera Utara1
Syahrun MubarokUniversitas Sumatera Utara1
Naomi AzhariUniversitas Sumatera Utara1
Wahyu Franciscus SihotangAffiliation unknown1
Mohd Najib Mohd HussainUniversiti Teknologi MARA1
Faizzufar TaqyAffiliation unknown1
Hafizh PrihtiadiAffiliation unknown1
Muldi YuhendriAffiliation unknown1
Christian Kevin Imanuel SimarmataAffiliation unknown1
Issarachai NgamrooAffiliation unknown1
I Made Ari NrarthaUniversity of Mataram1
Muzamir IsaUniversiti Malaysia Perlis1
Arnawan HasibuanMalikussaleh University1
Widyana Verawaty SiregarAffiliation unknown1
Herman FithraAffiliation unknown1
Nurdin NurdinAffiliation unknown1
Robi KurniawanAffiliation unknown1

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.

Metadata source: OAI-PMH (metadata jurnal) http://ijape.iaescore.com/index.php/IJAPE/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Comparative performance analysis of MPPT algorithms for wind power generation: P&amp;O, INC, and TSR methods</dc:title>
	<dc:creator>Desky, Muhammad Aulia</dc:creator>
	<dc:creator>Siregar, Yulianta</dc:creator>
	<dc:creator>Pinem, Maksum</dc:creator>
	<dc:subject xml:lang="en-US">incremental conductance; MATLAB simulation; maximum power point tracking; perturb and observe; tip speed ratio; wind energy</dc:subject>
	<dc:description xml:lang="en-US">Wind energy has great potential, especially in areas with high wind speeds such as Southeast Aceh. However, wind speed fluctuations reduce turbine efficiency, necessitating maximum power point tracking (MPPT) for optimization. This study compared three MPPT methods perturb and observe (P&amp;amp;O), incremental conductance (INC), and tip speed ratio (TSR) to identify the most effective technique. Using MATLAB Simulink, simulations were conducted with wind speed data from Southeast Aceh and a DC-DC boost converter. Results showed the P&amp;amp;O method performed best, producing 847.83 W at 10 m/s, compared to 702.40 W for INC and 324.35 W for TSR. P&amp;amp;O also achieved the highest current output, reaching 16.45 A, while INC and TSR produced 13.66 A and 6.34 A, respectively. At lower wind speeds, P&amp;amp;O continued to outperform the other methods. This study concludes that the P&amp;amp;O method is the most effective method to improve the efficiency of wind turbines in Southeast Aceh, while INC shows moderate performance and TSR is the least effective method due to fluctuating wind speeds in a short time, so that TSR cannot maintain its maximum value. Therefore, P&amp;amp;O is recommended as the optimal MPPT technique for wind power plants in this region.</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>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijape.iaescore.com/index.php/IJAPE/article/view/21863</dc:identifier>
	<dc:identifier>10.11591/ijape.v15.i2.pp894-904</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Applied Power Engineering (IJAPE); Vol 15, No 2: June 2026; 894-904</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/21863/13469</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Muhammad Aulia Desky, Yulianta Siregar, Maksum Pinem</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>