Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

Metaheuristics-based maximum power point tracking for PV systems: a review

International Journal of Power Electronics and Drive Systems · Vol. 14 No. 4 (2023) · hlm. 2495–2513

DOI
10.11591/ijpeds.v14.i4.pp2495-2513
ISSN
2722-256X, 2088-8694
Terbit
2023-12-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

Over the years, numerous maximum power point tracking (MPPT) methods have been developed to extract the maximum available power from PV arrays. They are generally categorized as conventional or metaheuristic methods. The most employed conventional methods include perturb and observe (P&O), hill climbing (HC), and incremental conductance (INC), due to their simplicity and ease of implementation. However, under partial shading condition (PSC), none of them can effectively locate a global maximum power point (GMPP) out of many local maximum power points (LMPPs). This results in significant power loss during PSC, prompting the development of various metaheuristic-based MPPT methods to address the problem. This paper reviews 38 existing metaheuristic-based MPPTs and 27 metaheuristic methods that have not yet been applied to any MPPT operation up to date. Metaphorically, these methods are divided into four categories: (i) evolutionary-based, (ii) physics-based, (iii) swarm-based, and (iv) human-based. The different MPPTs are compared in terms of complexity, converter topology, and PSC tracking capability. This paper is intended to serve as a one-stop resource for any researcher, practitioner, or advanced student seeking to develop a new metaheuristic-based MPPT method.

Kata kunci

Jaringan kolaborasi para penulis

35 penulis · 110 tautan kepenulisan bersama · 39 lintas organisasi

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universiti Teknologi MARA
  • Universiti Putra Malaysia
  • University of Malaya
  • University of Technology Malaysia
  • Universiti Teknikal Malaysia Melaka
  • Tun Hussein Onn University of Malaysia
  • Universiti Tenaga Nasional
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Ismail MusirinUniversiti Teknologi MARA7
Rahimi BaharomUniversiti Teknologi MARA5
Nik Fasdi Nik IsmailUniversiti Teknologi MARA3
Dalina JohariUniversiti Teknologi MARA3
Shahril Irwan SulaimanUniversiti Teknologi MARA3
Zulkiffli Abdul HamidUniversiti Teknologi MARA2
Siti Zaliha Mohammad NoorUniversiti Teknologi MARA2
Mohammad Lutfi OthmanUniversiti Putra Malaysia2
Zainal SalamUniversity of Technology Malaysia2
Nor Farahaida Abdul RahmanUniversiti Teknologi MARA2
Mohd Amran Mohd RadziUniversiti Putra Malaysia2
Awais FarooqiUniversiti Teknologi MARA2
Azhan Ab RahmanUniversiti Teknikal Malaysia Melaka1
Ammar Yasier AzmanUniversiti Teknologi MARA1
Muhammad Alif MansorUniversiti Teknologi MARA1
Naeem M. S. HannoonUniversiti Teknologi MARA1
Muhamad Amirul Naim Mohd JamaluddinUniversiti Teknologi MARA1
Faisal FauziUniversiti Teknologi MARA1
Hang SengUniversity of Malaya1
Wan Noraishah Wan Abdul MunimUniversiti Teknologi MARA1
Nooradzianie Muhammad ZinTun Hussein Onn University of Malaysia1
Mohamad Fathi Mohamad EliasUniversity of Malaya1
Kamrul HasanUniversiti Teknologi MARA1
M. A. HannanUniversiti Tenaga Nasional1
Mohammad Fazrul Ashraf Mohd FazilUniversiti Teknologi MARA1
Mohd Hafez Hilmi HarunUniversiti Teknologi MARA1
Ayman Nurshazwan Abdul RashidAfiliasi tidak diketahui1
Muhammad Hasbi AzmiUniversiti Teknologi MARA1
Suleiman MusaKaduna Polytechnic1
Pusparini Dewi Abd AzizUniversity of Kuala Lumpur1
Nik Muhamad Lokman Fahmi Nek RakamiUniversiti Teknologi MARA1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijpeds.iaescore.com/index.php/IJPEDS/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Metaheuristics-based maximum power point tracking for PV systems: a review</dc:title>
	<dc:creator>Jamhari, Muhammad Khairul Azman Mohd</dc:creator>
	<dc:creator>Hashim, Norazlan</dc:creator>
	<dc:creator>Othman, Muhammad Murtadha</dc:creator>
	<dc:creator>Abidin, Ahmad Farid Bin</dc:creator>
	<dc:subject xml:lang="en-US">conventional MPPT; maximum power point tracking; metaheuristic MPPT; partial shading condition; photovoltaic system</dc:subject>
	<dc:description xml:lang="en-US">Over the years, numerous maximum power point tracking (MPPT) methods have been developed to extract the maximum available power from PV arrays. They are generally categorized as conventional or metaheuristic methods. The most employed conventional methods include perturb and observe (P&amp;amp;O), hill climbing (HC), and incremental conductance (INC), due to their simplicity and ease of implementation. However, under partial shading condition (PSC), none of them can effectively locate a global maximum power point (GMPP) out of many local maximum power points (LMPPs). This results in significant power loss during PSC, prompting the development of various metaheuristic-based MPPT methods to address the problem. This paper reviews 38 existing metaheuristic-based MPPTs and 27 metaheuristic methods that have not yet been applied to any MPPT operation up to date. Metaphorically, these methods are divided into four categories: (i) evolutionary-based, (ii) physics-based, (iii) swarm-based, and (iv) human-based. The different MPPTs are compared in terms of complexity, converter topology, and PSC tracking capability. This paper is intended to serve as a one-stop resource for any researcher, practitioner, or advanced student seeking to develop a new metaheuristic-based MPPT method.</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>2023-12-01</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/22700</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v14.i4.pp2495-2513</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 14, No 4: December 2023; 2495-2513</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v14.i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/22700/14382</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Muhammad Khairul Azman Mohd Jamhari, Norazlan Hashim, Muhammad Murtadha Othman</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>