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

Niharika Singh1,2, Irraivan Elamvazuthi1,2, Perumal Nallagownden2

  • 1Smart Assistive and Rehabilitative Technology (SMART), Research Group, Universiti Teknologi PETRONAS, 32610 Perak, Malaysia.

Sensors (Basel, Switzerland)
|May 30, 2020
PubMed
Summary
This summary is machine-generated.

This study enhances microgrid intelligence with a multi-agent system and Bellman routing, improving network delay by up to 43.3% for better communication reliability.

Keywords:
distributed energy resources (DERs)microgridmulti-agent system (MAS)network performancerenewable energy sources (RES)smart grid

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Network Communications

Background:

  • Microgrids require robust communication-control architectures for optimal power balance and energy allocation.
  • Designing intelligent systems to coordinate microgrid actions with operating conditions is a significant challenge.
  • Existing communication architectures may struggle with the distributed and dynamic nature of microgrids.

Purpose of the Study:

  • To enhance the intelligence and communication reliability of microgrid networks.
  • To propose and validate a novel multi-agent system for microgrid control and routing.
  • To analyze the impact of the proposed system on key network performance metrics.

Main Methods:

  • Implementation of a multi-agent system (MAS) leveraging the Bellman-Ford algorithm for routing.
  • Development of a multi-agent-based Bellman routing (MABR) algorithm tailored for microgrids.
  • Performance evaluation using network metrics (delay, throughput, jitter, queuing) on IEEE test systems under ideal and fault conditions.
  • Analysis using Constant Bit Rate (CBR) traffic models for small, medium, and large-scale microgrids.

Main Results:

  • The proposed MABR algorithm significantly improves network delay performance, achieving 35%-43.3% enhancement.
  • The multi-agent system effectively coordinates actions within the microgrid network.
  • Network performance metrics demonstrate the efficacy of the proposed routing strategy under various network scales and fault scenarios.

Conclusions:

  • The multi-agent-based Bellman routing approach offers a viable solution for enhancing microgrid communication intelligence and reliability.
  • The proposed system demonstrates substantial improvements in network delay, contributing to more stable microgrid operations.
  • This research provides a foundation for developing more resilient and efficient microgrid communication infrastructures.