Integrating Multi-Agent System Control in Hybrid Microgrid System for Energy Management System

Microgrids are decentralized power systems installed at customer locations, featuring a range of generating units and operational modes. These systems are designed to meet the specific energy requirements of users while also supplying surplus power back to the main grid. Often incorporating Renewable Energy Sources (RES) such as solar PV cells, wind generators, and batteries, microgrids are valued for their compact size and flexible configurations. To maintain stable operation across these diverse energy sources, a Multi-Agent System (MAS) is utilized. This MAS is tailored for modeling and autonomous decision-making. The study focuses on a microgrid equipped with wind power, solar PV power, battery, and a local electrical load, collectively forming the Hybrid Microgrid System (HMGS). The simulation is developed using the Java Agent Development Environment (JADE), which facilitates effective management of the system's varied components. The primary goal of this study is to assess the performance and reliability of the HMGS, with a particular focus on the role of the MAS in managing the complex interactions between different power sources to ensure sustainable and efficient operation.