A Novel Architecture of a Multi-Agent System for Self-Healing Protection in a Smart Power Distribution System

This paper introduces a novel architecture for a Multi-Agent System (MAS) designed to enhance self-healing capabilities within smart power distribution systems. As power distribution networks grow increasingly complex and laden with intercon- nected renewable energy sources, ensuring stability and reliability in the face of faults becomes paramount. Our approach integrates the Java Agent Development Environment (JADE) with MATLAB/Simulink, facilitating a robust simulation environment where dynamic fault scenarios can be tested and analyzed. The proposed system utilizes Fault Detection, Isolation, and Restoration (FDIR) techniques to automate the process of fault management. Through the implementation of MAS, the system autonomously detects faults, isolates damaged sections, and reroutes power to minimize service interruptions. The effectiveness of this architecture was validated through detailed simulations on a nine-bus distribution network model and a practical hardware implementation using Raspberry Pi, demonstrating the system’s capability to significantly reduce outage times and improve the reliability of power delivery. Key results indicate that the MAS effectively manages and restores power with minimal human intervention, showcasing a significant reduction in the duration and impact of outages. This research not only contributes to the theoretical framework of smart grid resilience but also provides a scalable model for future smart grids that incorporate extensive use of renewable energy sources and require high levels of automation in fault management