Coordination of modular nano grid energy management using multi-agent AI architecture

Abstract

Many innovative creations of businesses and academics are a result of the ever-increasing intricacy of the contemporary, renewable electricity, and fuel networks. To handle the complicated aspects of networks, the right architectural and testing techniques, methodologies, theories, and accompanying technologies are required. Intermittent sustainable energy resources like wind and solar present some difficulties in managing energy production and use. This study provides a revolutionary multi-agent AI system-based smart controlling strategy to manage the power requirements of a building with sustainable power resources. To meet the demands of the workload, the suggested approach uses a hierarchical multiple-agent network based on collaboration and communication among intelligent entities. An intelligent grid network comprising of multiple intelligent nano grids connected to a sustainable energy resource with tariff monitoring and intelligent power flow monitoring been modeled for energy-sharing and electrical reliability enhancement. The network, which features imbalanced three-phase diodes bridging rectifier output, is combined using two distinct Renewable Energy Sources (RESs). These two RESs include a photovoltaic unit for the first nano grid and a wind power generation unit for the second nano grid. This method is primarily based on auto-similar networks, which are suitable and simple to apply for multiple agent networks.