Optimizing microgrid energy management using multi-agent systems for enhanced resilience and sustainability

Abstract

Microgrids, which are networks of connected energy sources and consumers, play a vital role in modern power systems. They can work together as a single unit, even when disconnected from the main power grid. This study proposes an innovative energy management approach for microgrids, focusing on optimal power consumption. The strategy leverages Multi-Agent Systems (MAS) to ensure efficient resource allocation within the microgrid. Microgrids can be connected to or separated from the main grid, operating in different modes. This project introduces a method where microgrids communicate and collaborate, forming a smart grid. The microgrid's ability to be self-reliant and continue producing electricity during power failures is crucial. The proposed MAS-based strategy aims to fulfill energy demands autonomously. If a microgrid can not meet its needs, it can seek assistance from others. Surplus energy can also be shared to enhance overall resilience. This research employs the Cisco Packet Tracer simulation tool to validate the proposed energy management strategy. By utilizing networking and programming principles, microgrid components work together efficiently. The simulations demonstrate the effectiveness of the MAS-based approach in optimizing energy consumption, promoting self-sufficiency, and fostering collaboration among microgrids. This study contributes to microgrid technology by presenting an advanced energy management strategy grounded in Multi-Agent Systems. Through efficient coordination and resource sharing, microgrids can better handle power demand, ensure self-sufficiency, and enhance overall system resilience. This research show cases the potential for creating smarter, interconnected energy systems that are reliable and adaptable.