Communication Latency in Multi-agent System for Microgrid
This paper discusses about designing a multiagent system (MAS) for the IEEE bus-4 microgrid. The design models the communication latency among various agents. These intelligent agents are arranged as per the distributed manner impacting the higher-level capabilities of the microgrid. This helps in t...
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Institute of Electrical and Electronics Engineers Inc.
2019
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my.utp.eprints.236712021-08-19T08:08:05Z Communication Latency in Multi-agent System for Microgrid Singh, N. Elamvazuthi, I. Nallagownden, P. Ramasamy, G. Jangra, A. This paper discusses about designing a multiagent system (MAS) for the IEEE bus-4 microgrid. The design models the communication latency among various agents. These intelligent agents are arranged as per the distributed manner impacting the higher-level capabilities of the microgrid. This helps in the controlling and maintaining coordination between power and communication network of the microgrid. Communication latency or delay is divided into system and communication delay. The simulation of the methodology is conducted to identify the delay at each segment of the microgrid, i.e. generation, transmission, distribution and load. The model is simulated using a multi-agent simulator i.e. AnyLogic. Which has the interest to measure how fast system is responding based on the installation of MAS for IEEE bus-4. © 2019 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075639830&doi=10.1109%2fSCORED.2019.8896243&partnerID=40&md5=08a6e669339853dcad51cbf565bd163b Singh, N. and Elamvazuthi, I. and Nallagownden, P. and Ramasamy, G. and Jangra, A. (2019) Communication Latency in Multi-agent System for Microgrid. In: UNSPECIFIED. http://eprints.utp.edu.my/23671/ |
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This paper discusses about designing a multiagent system (MAS) for the IEEE bus-4 microgrid. The design models the communication latency among various agents. These intelligent agents are arranged as per the distributed manner impacting the higher-level capabilities of the microgrid. This helps in the controlling and maintaining coordination between power and communication network of the microgrid. Communication latency or delay is divided into system and communication delay. The simulation of the methodology is conducted to identify the delay at each segment of the microgrid, i.e. generation, transmission, distribution and load. The model is simulated using a multi-agent simulator i.e. AnyLogic. Which has the interest to measure how fast system is responding based on the installation of MAS for IEEE bus-4. © 2019 IEEE. |
format |
Conference or Workshop Item |
author |
Singh, N. Elamvazuthi, I. Nallagownden, P. Ramasamy, G. Jangra, A. |
spellingShingle |
Singh, N. Elamvazuthi, I. Nallagownden, P. Ramasamy, G. Jangra, A. Communication Latency in Multi-agent System for Microgrid |
author_facet |
Singh, N. Elamvazuthi, I. Nallagownden, P. Ramasamy, G. Jangra, A. |
author_sort |
Singh, N. |
title |
Communication Latency in Multi-agent System for Microgrid |
title_short |
Communication Latency in Multi-agent System for Microgrid |
title_full |
Communication Latency in Multi-agent System for Microgrid |
title_fullStr |
Communication Latency in Multi-agent System for Microgrid |
title_full_unstemmed |
Communication Latency in Multi-agent System for Microgrid |
title_sort |
communication latency in multi-agent system for microgrid |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2019 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075639830&doi=10.1109%2fSCORED.2019.8896243&partnerID=40&md5=08a6e669339853dcad51cbf565bd163b http://eprints.utp.edu.my/23671/ |
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13.211869 |