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Assessment of Microgrid Communication Network Performance for Medium-Scale IEEE Bus Systems Using Multi-Agent System

  • 2021
  • OriginalPaper
  • Chapter
Published in:
Authors
Niharika Singh
Irraivan Elamvazuthi
Perumal Nallagownden
Gobbi Ramasamy
Ajay Jangra
Published in
Mobile Radio Communications and 5G Networks
Publisher
Springer Singapore

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Abstract

Microgrids help to achieve power balance and energy allocation optimality for the defined load networks. In this paper, the focus is to enhance the intelligence of the microgrid network using a multi-agent system and validation is using network performance metrics such as delay, throughput and jitter. Network performance is analyzed for the medium-scale microgrid using two IEEE test systems, i.e., IEEE 34 and IEEE 39. In this paper, Bellman–Ford algorithm is incorporated to calculate the shortest path to a given destination. The algorithm is defined for the distributed nature of the microgrid. From this model, researchers have achieved up to 30% improvement in the network performance of a microgrid.

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previous chapter Bone Fractured Detection Using Machine Learning and Digital Geometry
next chapter Optimum Digital Filter Design for Removal of Different Noises from Biomedical Signals
Title
Assessment of Microgrid Communication Network Performance for Medium-Scale IEEE Bus Systems Using Multi-Agent System
Authors
Niharika Singh
Irraivan Elamvazuthi
Perumal Nallagownden
Gobbi Ramasamy
Ajay Jangra
Copyright Year
2021
Publisher
Springer Singapore
Book
Mobile Radio Communications and 5G Networks

Print ISBN: 978-981-15-7129-9

Electronic ISBN: 978-981-15-7130-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-7130-5_29
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