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Related Experiment Video

Updated: Mar 22, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

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Published on: February 14, 2025

Multiagent Systems Based Modeling and Implementation of Dynamic Energy Management of Smart Microgrid Using MACSimJX.

Leo Raju¹, R S Milton¹, Senthilkumaran Mahadevan¹

¹SSN College of Engineering, Chennai, Tamil Nadu 603110, India.

Thescientificworldjournal

|April 30, 2016

Summary

This summary is machine-generated.

This study implements a multiagent system (MAS) for efficient solar microgrid energy management. The system optimizes power exchange and enhances operational efficiency through a decentralized approach.

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Area of Science:

Electrical Engineering
Computer Science
Artificial Intelligence

Background:

Solar microgrids require advanced energy management due to intermittent power generation and dynamic load conditions.
Existing control systems often struggle with the complexity of decentralized energy resources and real-time adjustments.

Purpose of the Study:

To implement a multiagent system (MAS) for advanced distributed energy management and demand-side management in a solar microgrid.
To enhance the operational efficiency and optimize power exchange within the solar microgrid.

Main Methods:

Utilized the Java Agent Development Environment (JADE) framework for MAS implementation.
Integrated JADE with MATLAB/Simulink using Multiagent Control Using Simulink with Jade Extension (MACSimJX) for microgrid component control.
Developed a simulation environment to emulate distributed microgrid operations and evaluate agent performance.

Main Results:

The MAS in JADE maximized solar microgrid operational efficiency through a decentralized approach.
Runtime efficiency was increased due to the JADE framework.
Autonomous demand-side management optimized power exchange considering solar intermittency, load randomness, and grid price variations.

Conclusions:

The implemented MAS effectively manages solar microgrids, improving efficiency and enabling autonomous demand-side management.
The JADE-MATLAB integration via MACSimJX provides a robust platform for controlling complex microgrid dynamics.
This approach offers a promising solution for optimizing renewable energy integration and grid stability.