Routing Based Multi-Agent System for Network Reliability in the Smart Microgrid


Singh, Niharika and Elamvazuthi, Irraivan and Nallagownden, Perumal and Ramasamy, Gobbi and Jangra, Ajay (2020) Routing Based Multi-Agent System for Network Reliability in the Smart Microgrid. Sensors, 20 (10). pp. 1-24. ISSN 1424-8220

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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.

Item Type: Article
Uncontrolled Keywords: Microgrids (Smart power grids), distributed energy resources (DERs), microgrid, multi-agent system (MAS), network performance, renewable energy sources (RES), smart grid
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3001-3521 Distribution or transmission of electric power
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 14 Dec 2020 08:08
Last Modified: 14 Dec 2020 08:08


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