Melola Discovery

← Melola Discovery

Open access Journal SINTA 1

Multi-objective algorithm for hybrid microgrid energy management based on multi-agent system

International Journal of Power Electronics and Drive Systems · Vol. 15 No. 2 (2024) · pp. 1235–1246

DOI
10.11591/ijpeds.v15.i2.pp1235-1246
ISSN
2722-256X, 2088-8694
Published
2024-06-01
Publisher
Institute of Advanced Engineering and Science
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

In the dynamic landscape of renewable energies, microgrid systems emerge as a promising avenue for fostering sustainable local energy generation. However, the effective management of energy resources holds the key to unlocking their full potential. This study assumes the task of creating a multi-objective optimization algorithm for microgrid energy management. At its core, the algorithm places a premium on seamlessly integrating renewable energy sources and orchestrating efficient storage coordination. Leveraging the prowess of a multi-agent system, it allocates and utilizes energy resources. Through the combination of renewable sources, storage mechanisms, and variable loads, the algorithm promotes energy efficiency and ensures a steady power supply. This transformative solution is underscored by the algorithm's remarkable performance in practical simulations and validations across diverse microgrid scenarios, offering a prevue into the future of sustainable energy utilization.

Keywords

Collaboration network of the authors

40 authors · 92 co-authorship links · 9 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.

  • University of Hassan II Casablanca
  • École Normale Supérieure de l'Enseignement Technique de Mohammedia
  • Arts et Métiers
  • Université Moulay Ismail de Meknes
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Mohammed QbadouUniversity of Hassan II Casablanca8
Zineb LaabidUniversity of Hassan II Casablanca3
Bouchaib CherradiUniversity of Hassan II Casablanca3
Abir El YamamiUniversity of Hassan II Casablanca2
Ansar DaghouriUniversity of Hassan II Casablanca2
Hamid BouyghfUniversity of Hassan II Casablanca2
Morad HajjiUniversity of Hassan II Casablanca2
Aziz MoumenUniversity of Hassan II Casablanca2
Abdelghani LakhdarUniversity of Hassan II Casablanca2
Soufiane HamidaUniversity of Hassan II Casablanca2
Ali SiadatArts et Métiers2
El Hossein IllousamenAffiliation unknown1
Bachir BenhalaUniversité Moulay Ismail de Meknes1
Lamia MoudoubahUniversity of Hassan II Casablanca1
Marouane El MidaouiUniversity of Hassan II Casablanca1
Amina OuatiqUniversity of Hassan II Casablanca1
Kamal ElGuemmatAffiliation unknown1
Oussama El GannourUniversity of Hassan II Casablanca1
Hassan OuajjiUniversity of Hassan II Casablanca1
Issa SabiriUniversity of Hassan II Casablanca1
Soukaina GouraguineUniversity of Hassan II Casablanca1
Mustapha RiadUniversity of Hassan II Casablanca1
Asmae OuhmidaUniversity of Hassan II Casablanca1
Sara SandabadUniversity of Hassan II Casablanca1
Abdelilah ChahidÉcole Normale Supérieure de l'Enseignement Technique de Mohammedia1
Souad AhrizÉcole Normale Supérieure de l'Enseignement Technique de Mohammedia1
Kamal El GuemmatÉcole Normale Supérieure de l'Enseignement Technique de Mohammedia1
Ayoub El-AlamiUniversity of Hassan II Casablanca1
Younes NadirUniversity of Hassan II Casablanca1
Hicham Ait El AttarAffiliation unknown1
Hassan SamriAffiliation unknown1
Moulay El Houssine Ech-ChhibatAffiliation unknown1
Abderrahim BahaniAffiliation unknown1
Tarek BahrarAffiliation unknown1
Mohamed Amine OuassilAffiliation unknown1
Mohammed JebbariAffiliation 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)
<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">Multi-objective algorithm for hybrid microgrid energy management based on multi-agent system</dc:title>
	<dc:creator>Tyass, Ilham</dc:creator>
	<dc:creator>Bellat, Abdelouahed</dc:creator>
	<dc:creator>Raihani, Abdelhadi</dc:creator>
	<dc:creator>Mansouri, Khalifa</dc:creator>
	<dc:subject xml:lang="en-US">hybrid microgrid; multi-agent system; optimization algorithm; renewable energy; storage management</dc:subject>
	<dc:description xml:lang="en-US">In the dynamic landscape of renewable energies, microgrid systems emerge as a promising avenue for fostering sustainable local energy generation. However, the effective management of energy resources holds the key to unlocking their full potential. This study assumes the task of creating a multi-objective optimization algorithm for microgrid energy management. At its core, the algorithm places a premium on seamlessly integrating renewable energy sources and orchestrating efficient storage coordination. Leveraging the prowess of a multi-agent system, it allocates and utilizes energy resources. Through the combination of renewable sources, storage mechanisms, and variable loads, the algorithm promotes energy efficiency and ensures a steady power supply. This transformative solution is underscored by the algorithm's remarkable performance in practical simulations and validations across diverse microgrid scenarios, offering a prevue into the future of sustainable energy utilization.</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>2024-06-01</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://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23057</dc:identifier>
	<dc:identifier>10.11591/ijpeds.v15.i2.pp1235-1246</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 15, No 2: June 2024; 1235-1246</dc:source>
	<dc:source>2722-256X</dc:source>
	<dc:source>2088-8694</dc:source>
	<dc:source>10.11591/ijpeds.v15.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/23057/14581</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Ilham Tyass</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>