Abstract

By consulting various worldwide definitions of microgrids and distributed energy, this study presents a microgrid-structured multi-agent system and uses Matlab/Simulink to construct a circuit with microgrid features, which enables the changes in each electrical source and load in the microgrid to be monitored and controlled. This multi-agent system adheres to the Java Agent Development Framework (JADE) platform specifications of the Foundation for Intelligent Physical Agents (FIPA), facilitating communication, information transfers, and the receipt of real-time information regarding the microgrid and each component in the microgrid. Furthermore, the real-time state in the microgrid can be correspondingly controlled, achieving the most efficient real-time monitoring and control for electrical sources and load management in the microgrid.

Highlights

  • The World is currently facing an energy crisis because of the gradual rise in energy demands and carbon dioxide emissions

  • The source side included an AC source, DC source, batteries, and fuel cells; the load side was designed to meet the supply from the source side, enabling the distributed energy to power all loads

  • When the distributed energy alone was insufficient, an AC source was used for auxiliary power

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Summary

Introduction

The World is currently facing an energy crisis because of the gradual rise in energy demands and carbon dioxide emissions. A multi-agent system is a type of smart management system comprising multiple agents that can communicate and interact, possess a high degree of autonomy, and make judgments independently or cooperate to complete objectives. These systems are adaptable to various system environments and designed with significant elastic space. Framework (JADE) multi-agent system to perform real-time monitoring for the management of microgrid power sources and loads. Empirical and simulated results demonstrated that the multi-agent system designed could satisfy demand while effectively providing real-time power source and load management in the microgrid

Microgrid System
Multi Agent System
Micro Grid Multi Agent Management System
Simulation and Analysis
Distributed Energy as the Primary Power Supply Mode
Mains Electricity as the Primary Power Supply Mode
Failures
Conclusions
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