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Continuous domain ant colony optimization for distributed generation placement and losses minimization

IAES International Journal of Artificial Intelligence · Vol. 9 No. 2 (2020) · hlm. 261–268

DOI
10.11591/ijai.v9.i2.pp261-268
ISSN
2252-8938, 2089-4872
Terbit
2020-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

This paper proposes a method for distributed generation (DG) placement in distribution system for losses minimization and voltage profile improvement. An IEEE 33-bus radial distribution system is used as the test system for the placement of DG. To facilitate the sizing of DG capacity, a meta-heuristic algorithm known as Continuous Domain Ant Colony Optimization (ACOR) is implemented. The ACOR is a modified version of the traditional ACO which was developed specially for solving continuous domain optimization problem like sizing a set of variables. The objective of this paper is to determine the optimal size and location of DG for power loss minimization and voltage profile mitigation. Three case studies were conducted for the purpose of verification. It was observed that the proposed technique is able to give satisfactory results of real power loss and voltage profile at post-optimization condition. Experiment under various loadings of the test system further justifies the objective of the study.

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  • Universiti Teknologi MARA
  • UCSI University
  • University Ferhat Abbas of Setif
  • National University of Malaysia
  • University of Brawijaya
  • HELP University
  • Universiti Tenaga Nasional
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Rekan penulisOrganisasiArtikel bersama
Mohammad Lutfi OthmanUniversiti Putra Malaysia5
Siti Zaliha Mohammad NoorUniversiti Teknologi MARA3
Norazlan HashimUniversiti Teknologi MARA3
Shahril Irwan SulaimanUniversiti Teknologi MARA3
Muhamad Faliq Mohamad NazerUCSI University2
Shahrizal JelaniUCSI University2
Mohd Helmi MansorUniversiti Tenaga Nasional2
Hadi SuyonoUniversity of Brawijaya2
Rini Nur HasanahUniversity of Brawijaya2
Ahmad Farid AbidinUniversiti Teknologi MARA2
Muhammad Khairul Azman Mohd JamhariUniversiti Teknologi MARA2
Muhammad Alif MansorUniversiti Teknologi MARA2
Muhamad Amirul Naim Mohd JamaluddinUniversiti Teknologi MARA2
Faisal FauziUniversiti Teknologi MARA2
Nik Fasdi Nik IsmailUniversiti Teknologi MARA1
Dalina JohariUniversiti Teknologi MARA1
Azhan Ab RahmanUniversiti Teknikal Malaysia Melaka1
Ramzi KouadriUniversity Ferhat Abbas of Setif1
Linda SlimaniUniversity Ferhat Abbas of Setif1
Tarek BouktirUniversity Ferhat Abbas of Setif1
A.V.Senthil KumarAfiliasi tidak diketahui1
Muhammad Firdaus ShaariUniversiti Teknologi MARA1
Farah Adilah JamaludinUCSI University1
Nor Azura Md GhaniUniversiti Teknologi MARA1
Saadi Bin Ahmad KamaruddinHELP University1
Hazrita Ab RahimHELP University1
Nofri Yenita DahlanUniversiti Teknologi MARA1
Wan Nazirah Wan Md AdnanUniversity of Selangor1
Nor Azwan Mohamed KamariNational University of Malaysia1
Ahmad Asrul IbrahimNational University of Malaysia1
Syahirah Abd HalimNational University of Malaysia1
Fareed Danial Ahmad KaharUniversiti Teknologi MARA1
Saiful Izwan SulimanUniversiti Teknologi MARA1
Mohamed ZellaguiUniversity of Batna 11
Muhamad Hazim LokmanUniversiti Teknologi MARA1
Sharifah Azma Syed MustafaUniversiti Teknologi MARA1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/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">Continuous domain ant colony optimization for distributed generation placement and losses minimization</dc:title>
	<dc:creator>Abdul Hamid, Zulkiffli</dc:creator>
	<dc:creator>Musirin, Ismail</dc:creator>
	<dc:creator>Yasier Azman, Ammar</dc:creator>
	<dc:creator>Murtadha Othman, Muhammad</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Ant-colony optimization, Power loss minimization, Distributed generation, Distribution systems, Voltage stability</dc:subject>
	<dc:description xml:lang="en-US">This paper proposes a method for distributed generation (DG) placement in distribution system for losses minimization and voltage profile improvement. An IEEE 33-bus radial distribution system is used as the test system for the placement of DG. To facilitate the sizing of DG capacity, a meta-heuristic algorithm known as Continuous Domain Ant Colony Optimization (ACOR) is implemented. The ACOR is a modified version of the traditional ACO which was developed specially for solving continuous domain optimization problem like sizing a set of variables. The objective of this paper is to determine the optimal size and location of DG for power loss minimization and voltage profile mitigation. Three case studies were conducted for the purpose of verification. It was observed that the proposed technique is able to give satisfactory results of real power loss and voltage profile at post-optimization condition. Experiment under various loadings of the test system further justifies the objective of the study.</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>2020-06-01</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://ijai.iaescore.com/index.php/IJAI/article/view/20474</dc:identifier>
	<dc:identifier>10.11591/ijai.v9.i2.pp261-268</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 9, No 2: June 2020; 261-268</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v9.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/20474/12957</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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