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High Performance Maximum Power Point Tracking on Wind Energy Conversion System

International Journal of Power Electronics and Drive Systems · Vol. 8 No. 3 (2017) · pp. 1359–1367

DOI
10.11591/ijpeds.v8.i3.pp1359-1367
ISSN
2722-256X, 2088-8694
Published
2017-09-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This paper presents the maximum power point tracking (MPPT) to extract the power of wind energy conversion system (WECS) using the Firefly Algorithm (FA) algorithm. This paper aims to present the FA as one of the accurate algorithms in MPPT techniques. Recently, researchers tend to apply the MPPT digital technique with the P n O algorithm to track MPP. On the other hand, this Paper implements the FA included in the digital classification to improve the performance of the MPPT technique. Therefore, the FA tracking results are verified with P n O to show the accuracy of the MPPT algorithm. The results obtained show that performance is higher when using the FA algorithm

Collaboration network of the authors

23 authors · 49 co-authorship links · 7 across different organisations

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

  • Institut Teknologi Sepuluh Nopember
  • Universitas Bhayangkara Surabaya
  • Institut Teknologi Telkom Surabaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ontoseno PenangsangInstitut Teknologi Sepuluh Nopember3
Suyanto SuyantoInstitut Teknologi Sepuluh Nopember2
Citra RahmadhaniInstitut Teknologi Sepuluh Nopember2
Ni Ketut AryaniInstitut Teknologi Sepuluh Nopember1
I Made Yulistya NegaraInstitut Teknologi Sepuluh Nopember1
Mat Syai’inInstitut Teknologi Sepuluh Nopember1
Suhartono SuhartonoInstitut Teknologi Sepuluh Nopember1
Ismit MadoInstitut Teknologi Sepuluh Nopember1
Amirullah AmirullahUniversitas Bhayangkara Surabaya1
Rezi DelfiantiInstitut Teknologi Sepuluh Nopember1
Bima MustaqimInstitut Teknologi Sepuluh Nopember1
Fauzan NusyuraInstitut Teknologi Telkom Surabaya1
Ardyono PriyadiInstitut Teknologi Sepuluh Nopember1
Imam AbadiInstitut Teknologi Sepuluh Nopember1
Moh. JauhariAffiliation unknown1
Dedet Candra RiawanAffiliation unknown1
Ermanu Azizul HakimAffiliation unknown1
Brainvendra Widi DionovaAffiliation unknown1
Ahmad Kholik SulistyoAffiliation unknown1
Muhammad Irsyad AbdullahAffiliation 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://ijpeds.iaescore.com/index.php/IJPEDS/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">High Performance Maximum Power Point Tracking on  Wind Energy Conversion System</dc:title>
	<dc:creator>Hendrawati, Dwiana</dc:creator>
	<dc:creator>Soeprijanto, Adi</dc:creator>
	<dc:creator>Ashari, Mochamad</dc:creator>
	<dc:description xml:lang="en-US">This paper presents the maximum power point tracking (MPPT) to extract the power of wind energy conversion system (WECS) using the Firefly Algorithm (FA) algorithm. This paper aims to present the FA as one of the accurate algorithms in MPPT techniques. Recently, researchers tend to apply the MPPT digital technique with the P n O algorithm to track MPP. On the other hand, this Paper implements the FA included in the digital classification to improve the performance of the MPPT technique. Therefore, the FA tracking results are verified with P n O to show the accuracy of the MPPT algorithm. The results obtained show that performance is higher when using the FA algorithm</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>2017-09-01</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://ijpeds.iaescore.com/index.php/IJPEDS/article/view/8154</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v8.i3.pp1359-1367</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 8, No 3: September 2017; 1359-1367</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v8.i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/8154/7034</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Dwiana Hendrawati, Adi Soeprijanto, Mochamad Ashari</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>