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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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/10/2992 |
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| author | Niharika Singh Irraivan Elamvazuthi Perumal Nallagownden Gobbi Ramasamy Ajay Jangra |
| author_facet | Niharika Singh Irraivan Elamvazuthi Perumal Nallagownden Gobbi Ramasamy Ajay Jangra |
| author_sort | Niharika Singh |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T19:36:25Z |
| format | Article |
| id | doaj.art-3636402cfa8940deada0b9eec43be03b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T19:36:25Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3636402cfa8940deada0b9eec43be03b2023-11-20T01:40:08ZengMDPI AGSensors1424-82202020-05-012010299210.3390/s20102992Routing Based Multi-Agent System for Network Reliability in the Smart MicrogridNiharika Singh0Irraivan Elamvazuthi1Perumal Nallagownden2Gobbi Ramasamy3Ajay Jangra4Smart Assistive and Rehabilitative Technology (SMART), Research Group, Universiti Teknologi PETRONAS, Perak 32610, MalaysiaSmart Assistive and Rehabilitative Technology (SMART), Research Group, Universiti Teknologi PETRONAS, Perak 32610, MalaysiaDepartment of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Perak 32610, MalaysiaFaculty of Engineering, Multimedia University, Persiaran Multimedia, Cyberjaya 63100, Selangor, MalaysiaUniversity Institute of Engineering and Technology, Kurukshetra University, Thanesar, Haryana 136119, IndiaMicrogrids 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.https://www.mdpi.com/1424-8220/20/10/2992distributed energy resources (DERs)microgridmulti-agent system (MAS)network performancerenewable energy sources (RES)smart grid |
| spellingShingle | Niharika Singh Irraivan Elamvazuthi Perumal Nallagownden Gobbi Ramasamy Ajay Jangra Routing Based Multi-Agent System for Network Reliability in the Smart Microgrid Sensors distributed energy resources (DERs) microgrid multi-agent system (MAS) network performance renewable energy sources (RES) smart grid |
| title | 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_short | 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 |
| topic | distributed energy resources (DERs) microgrid multi-agent system (MAS) network performance renewable energy sources (RES) smart grid |
| url | https://www.mdpi.com/1424-8220/20/10/2992 |
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