Routing based multi-agent system for network reliability in the smart microgrid

Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. One of the major challenges associated with microgrids is the design and implementation of a suitable communication-control architecture that can coordinate actions with system operating conditio...

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Main Authors: Singh, N., Elamvazuthi, I., Nallagownden, P., Ramasamy, G., Jangra, A.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.23337 /
Published: MDPI AG 2020
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085613003&doi=10.3390%2fs20102992&partnerID=40&md5=321ec4dc5d98cd495adb88178bf64bed
http://eprints.utp.edu.my/23337/
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spelling utp-eprints.233372021-08-19T07:24:46Z Routing based multi-agent system for network reliability in the smart microgrid Singh, N. Elamvazuthi, I. Nallagownden, P. Ramasamy, G. Jangra, A. Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. One of the major challenges associated with microgrids is the design and implementation of a suitable communication-control architecture that can coordinate actions with system operating conditions. In this paper, the focus is to enhance the intelligence of microgrid networks using a multi-agent system while validation is carried out using network performance metrics i.e., delay, throughput, jitter, and queuing. Network performance is analyzed for the small, medium and large scale microgrid using Institute of Electrical and Electronics Engineers (IEEE) test systems. In this paper, multi-agent-based Bellman routing (MABR) is proposed where the Bellman� Ford algorithm serves the system operating conditions to command the actions of multiple agents installed over the overlay microgrid network. The proposed agent-based routing focuses on calculating the shortest path to a given destination to improve network quality and communication reliability. The algorithm is defined for the distributed nature of the microgrid for an ideal communication network and for two cases of fault injected to the network. From this model, up to 35�43.3 improvement was achieved in the network delay performance based on the Constant Bit Rate (CBR) traffic model for microgrids. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. MDPI AG 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085613003&doi=10.3390%2fs20102992&partnerID=40&md5=321ec4dc5d98cd495adb88178bf64bed Singh, N. and Elamvazuthi, I. and Nallagownden, P. and Ramasamy, G. and Jangra, A. (2020) Routing based multi-agent system for network reliability in the smart microgrid. Sensors (Switzerland), 20 (10). http://eprints.utp.edu.my/23337/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. One of the major challenges associated with microgrids is the design and implementation of a suitable communication-control architecture that can coordinate actions with system operating conditions. In this paper, the focus is to enhance the intelligence of microgrid networks using a multi-agent system while validation is carried out using network performance metrics i.e., delay, throughput, jitter, and queuing. Network performance is analyzed for the small, medium and large scale microgrid using Institute of Electrical and Electronics Engineers (IEEE) test systems. In this paper, multi-agent-based Bellman routing (MABR) is proposed where the Bellman� Ford algorithm serves the system operating conditions to command the actions of multiple agents installed over the overlay microgrid network. The proposed agent-based routing focuses on calculating the shortest path to a given destination to improve network quality and communication reliability. The algorithm is defined for the distributed nature of the microgrid for an ideal communication network and for two cases of fault injected to the network. From this model, up to 35�43.3 improvement was achieved in the network delay performance based on the Constant Bit Rate (CBR) traffic model for microgrids. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
format Article
author Singh, N.
Elamvazuthi, I.
Nallagownden, P.
Ramasamy, G.
Jangra, A.
spellingShingle Singh, N.
Elamvazuthi, I.
Nallagownden, P.
Ramasamy, G.
Jangra, A.
Routing based multi-agent system for network reliability in the smart microgrid
author_sort Singh, N.
title Routing based multi-agent system for network reliability in the smart microgrid
title_short Routing based multi-agent system for network reliability in the smart microgrid
title_full Routing based multi-agent system for network reliability in the smart microgrid
title_fullStr Routing based multi-agent system for network reliability in the smart microgrid
title_full_unstemmed Routing based multi-agent system for network reliability in the smart microgrid
title_sort routing based multi-agent system for network reliability in the smart microgrid
publisher MDPI AG
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085613003&doi=10.3390%2fs20102992&partnerID=40&md5=321ec4dc5d98cd495adb88178bf64bed
http://eprints.utp.edu.my/23337/
_version_ 1741196659646267392
score 11.62408

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