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Comparison of MPP methods for photovoltaic system

International Journal of Applied Power Engineering (IJAPE) · Vol. 14 No. 2 (2025) · pp. 338–346

DOI
10.11591/ijape.v14.i2.pp338-346
ISSN
2722-2624, 2252-8792
Published
2025-06-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Solar electricity is usually a ubiquitous photovoltaic (PV) power source that converts sunlight into electricity. This makes solar energy a key factor in meeting the growing global demand. However, solar energy production from photovoltaic cells can be limited by many factors, so the power source needs to be optimized to reach the maximum level. One of the crucial technologies to enhance the power production of photovoltaic structures is maximum power point tracking (MPPT) measurement. This technology increases energy production by providing many advantages such as security, freedom, maximum energy efficiency, and environmental protection. MPPT continuously monitors the maximum power point of the photovoltaic structure to ensure the system operates at peak efficiency. This technology is indispensable in today’s solar systems, enabling the use of solar energy and reducing dependence on fossil fuels. By optimizing solar energy production, MPPT technology plays a crucial role in supporting the future of energy. It helps reduce climate change and promotes environmentally friendly practices through the use of renewable energy. MPPT technology also increases solar reliability, reduces maintenance costs, and improves overall performance. This makes MPPT an essential part of the modern solar system, ensuring they are efficient and effective.

Keywords

Collaboration network of the authors

40 authors · 111 co-authorship links · 4 across different organisations · showing the 40 most connected

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

  • Woosong University
  • Veer Surendra Sai University of Technology
  • Biju Patnaik University of Technology
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sivkumar MishraBiju Patnaik University of Technology6
Sanchita SahayAffiliation unknown5
Seong-Cheol KimWoosong University4
Papia RayVeer Surendra Sai University of Technology4
Ayush KumarAffiliation unknown4
Arun Kumar SahooAffiliation unknown4
S. NarasimhaAffiliation unknown3
Nisha KediaAffiliation unknown3
Raj Alpha SwainAffiliation unknown3
Lingam YashwanthAffiliation unknown3
Peesodi UdayAffiliation unknown3
Aditya Prasad MahapatraAffiliation unknown2
Bishweashwar SuklaAffiliation unknown2
Harikrishnan K. M.Affiliation unknown2
Padarabinda PalaiAffiliation unknown2
Sandip Ranjan BeheraAffiliation unknown2
Arul Kumar DashAffiliation unknown2
Prajna Jeet OjhaAffiliation unknown2
Bhabesh RoutrayAffiliation unknown2
Nitesh PattanayakAffiliation unknown2
Priyansu ShekharAffiliation unknown2
Pratyus Ranjan BeheraAffiliation unknown2
Priyanka raiAffiliation unknown2
Prince KumarAffiliation unknown2
Jayanta Kumar SahuAffiliation unknown2
Umamani SubudhiAffiliation unknown2
Drishana JhunjhunwallaAffiliation unknown2
Dashmat HembramAffiliation unknown2
Chan-Mook JungWoosong University1
Pankaj SharmaWoosong University1
Monalisa PandaAffiliation unknown1
Debani Prashad MishraAffiliation unknown1
Sopa Mousumi PatroAffiliation unknown1
Kalpa Ranjan BeheraAffiliation 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">Comparison of MPP methods for photovoltaic system</dc:title>
	<dc:creator>Mishra, Debani Prasad</dc:creator>
	<dc:creator>Senapati, Rudranarayan</dc:creator>
	<dc:creator>Biswal, Prabin</dc:creator>
	<dc:creator>Satapathy, Swayamjyoti</dc:creator>
	<dc:creator>Sahu, Smruti Susmita</dc:creator>
	<dc:creator>Salkuti, Surender Reddy</dc:creator>
	<dc:subject xml:lang="en-US">adaptive network-based fuzzy inference system; artificial neural network; fuzzy logic controller; gray wolf optimizer; Perturb and observe</dc:subject>
	<dc:description xml:lang="en-US">Solar electricity is usually a ubiquitous photovoltaic (PV) power source that converts sunlight into electricity. This makes solar energy a key factor in meeting the growing global demand. However, solar energy production from photovoltaic cells can be limited by many factors, so the power source needs to be optimized to reach the maximum level. One of the crucial technologies to enhance the power production of photovoltaic structures is maximum power point tracking (MPPT) measurement. This technology increases energy production by providing many advantages such as security, freedom, maximum energy efficiency, and environmental protection. MPPT continuously monitors the maximum power point of the photovoltaic structure to ensure the system operates at peak efficiency. This technology is indispensable in today’s solar systems, enabling the use of solar energy and reducing dependence on fossil fuels. By optimizing solar energy production, MPPT technology plays a crucial role in supporting the future of energy. It helps reduce climate change and promotes environmentally friendly practices through the use of renewable energy. MPPT technology also increases solar reliability, reduces maintenance costs, and improves overall performance. This makes MPPT an essential part of the modern solar system, ensuring they are efficient and effective.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Woosong University’s Academic Research Funding - 2023</dc:contributor>
	<dc:date>2025-06-01</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/20989</dc:identifier>
	<dc:identifier>10.11591/ijape.v14.i2.pp338-346</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Applied Power Engineering (IJAPE); Vol 14, No 2: June 2025; 338-346</dc:source>
	<dc:source>2722-2624</dc:source>
	<dc:source>2252-8792</dc:source>
	<dc:source>10.11591/ijape.v14.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijape.iaescore.com/index.php/IJAPE/article/view/20989/13314</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Debani Prasad Mishra, Rudranarayan Senapati, Prabin Biswal, Swayamjyoti Satapathy, Smruti Susmita Sahu, Surender Reddy Salkuti</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>