Fundamental Security Risk Modeling in Smart Grid in the Modern Era of Artificial Intelligence

The world is moving toward viable as well as reliable energy sources. The implementation of smart grids is one such drive that aims to coordinate the generation, distribution, and consumption of energy more efficiently. However, managing the smart grid is not an easy task as it involves dealing with a large amount of data and making real-time decisions. Artificial Intelligence has emerged as a promising solution to address these challenges. Smart grids enable utilities to optimize their current infrastructure while reducing the need to build more power plants since they are autonomous and increase the effectiveness and efficacy of electrical power management. In this paper, we have analyzed the management of smart grids using AI with various algorithms used in Smart Grid and focusing on power generation and distribution systems. The paper also highlights the benefits of using AI such as improved efficiency, reduced costs, and enhanced reliability with applications for fault detections and provides the comparison of traditional and modern technology in smart grids.