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Comparison of MPP methods for photovoltaic system

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

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

Abstrak

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.

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  • International Institute of Information Technology
  • Woosong University
  • KIIT University
  • Veer Surendra Sai University of Technology
  • Biju Patnaik University of Technology
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Rekan penulisOrganisasiArtikel bersama
Sivkumar MishraBiju Patnaik University of Technology6
Seong-Cheol KimWoosong University4
Papia RayVeer Surendra Sai University of Technology4
Padarabinda PalaiInternational Institute of Information Technology4
Sanchita SahayInternational Institute of Information Technology4
Arun Kumar SahooInternational Institute of Information Technology4
Rambilli Krishna Prasad Rao NaiduInternational Institute of Information Technology4
S. NarasimhaAfiliasi tidak diketahui3
Lingam YashwanthInternational Institute of Information Technology3
Peesodi UdayInternational Institute of Information Technology3
Aditya Prasad MahapatraInternational Institute of Information Technology2
Bishweashwar SuklaInternational Institute of Information Technology2
K. M. HarikrishnanInternational Institute of Information Technology2
Kaushiki AgrawalInternational Institute of Information Technology2
Debani Prasad MishraInternational Institute of Information Technology2
Raj Alpha SwainInternational Institute of Information Technology2
Nisha KediaInternational Institute of Information Technology2
Ayush KumarInternational Institute of Information Technology2
Sandip Ranjan BeheraInternational Institute of Information Technology2
Arul Kumar DashInternational Institute of Information Technology2
Prajna Jeet OjhaInternational Institute of Information Technology2
Bhabesh RoutrayInternational Institute of Information Technology2
Nitesh PattanayakInternational Institute of Information Technology2
Priyansu ShekharInternational Institute of Information Technology2
Pratyus Ranjan BeheraInternational Institute of Information Technology2
Priyanka raiInternational Institute of Information Technology2
Prince KumarInternational Institute of Information Technology2
Ayush KumarInternational Institute of Information Technology2
Chan-Mook JungWoosong University1
Pankaj SharmaWoosong University1
Monalisa PandaInternational Institute of Information Technology1
Debani Prashad MishraInternational Institute of Information Technology1
Sopa Mousumi PatroInternational Institute of Information Technology1
Kalpa Ranjan BeheraWoosong University1

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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">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>