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Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Multi-Agent Systems (MAS) have been seen as an attractive area of research for civil engineering professionals to subdivide complex issues. Based on the assignment’s history, nearby agents, and objective, the agent intended to take the appropriate action to complete the task. MAS models complex syst...

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Detalles Bibliográficos
Autores principales: Binyamin, Sami Saeed, Ben Slama, Sami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656614/
https://www.ncbi.nlm.nih.gov/pubmed/36365795
http://dx.doi.org/10.3390/s22218099
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author Binyamin, Sami Saeed
Ben Slama, Sami
author_facet Binyamin, Sami Saeed
Ben Slama, Sami
author_sort Binyamin, Sami Saeed
collection PubMed
description Multi-Agent Systems (MAS) have been seen as an attractive area of research for civil engineering professionals to subdivide complex issues. Based on the assignment’s history, nearby agents, and objective, the agent intended to take the appropriate action to complete the task. MAS models complex systems, smart grids, and computer networks. MAS has problems with agent coordination, security, and work distribution despite its use. This paper reviews MAS definitions, attributes, applications, issues, and communications. For this reason, MASs have drawn interest from computer science and civil engineering experts to solve complex difficulties by subdividing them into smaller assignments. Agents have individual responsibilities. Each agent selects the best action based on its activity history, interactions with neighbors, and purpose. MAS uses the modeling of complex systems, smart grids, and computer networks. Despite their extensive use, MAS still confronts agent coordination, security, and work distribution challenges. This study examines MAS’s definitions, characteristics, applications, issues, communications, and evaluation, as well as the classification of MAS applications and difficulties, plus research references. This paper should be a helpful resource for MAS researchers and practitioners. MAS in controlling smart grids, including energy management, energy marketing, pricing, energy scheduling, reliability, network security, fault handling capability, agent-to-agent communication, SG-electrical cars, SG-building energy systems, and soft grids, have been examined. More than 100 MAS-based smart grid control publications have been reviewed, categorized, and compiled.
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spelling pubmed-96566142022-11-15 Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid Binyamin, Sami Saeed Ben Slama, Sami Sensors (Basel) Review Multi-Agent Systems (MAS) have been seen as an attractive area of research for civil engineering professionals to subdivide complex issues. Based on the assignment’s history, nearby agents, and objective, the agent intended to take the appropriate action to complete the task. MAS models complex systems, smart grids, and computer networks. MAS has problems with agent coordination, security, and work distribution despite its use. This paper reviews MAS definitions, attributes, applications, issues, and communications. For this reason, MASs have drawn interest from computer science and civil engineering experts to solve complex difficulties by subdividing them into smaller assignments. Agents have individual responsibilities. Each agent selects the best action based on its activity history, interactions with neighbors, and purpose. MAS uses the modeling of complex systems, smart grids, and computer networks. Despite their extensive use, MAS still confronts agent coordination, security, and work distribution challenges. This study examines MAS’s definitions, characteristics, applications, issues, communications, and evaluation, as well as the classification of MAS applications and difficulties, plus research references. This paper should be a helpful resource for MAS researchers and practitioners. MAS in controlling smart grids, including energy management, energy marketing, pricing, energy scheduling, reliability, network security, fault handling capability, agent-to-agent communication, SG-electrical cars, SG-building energy systems, and soft grids, have been examined. More than 100 MAS-based smart grid control publications have been reviewed, categorized, and compiled. MDPI 2022-10-22 /pmc/articles/PMC9656614/ /pubmed/36365795 http://dx.doi.org/10.3390/s22218099 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Binyamin, Sami Saeed
Ben Slama, Sami
Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid
title Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid
title_full Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid
title_fullStr Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid
title_full_unstemmed Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid
title_short Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid
title_sort multi-agent systems for resource allocation and scheduling in a smart grid
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656614/
https://www.ncbi.nlm.nih.gov/pubmed/36365795
http://dx.doi.org/10.3390/s22218099
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