Artificial Intelligence Management System of Floating Nuclear Reactors for Implementing Remote Distributed Energy Environments

This paper explores future energy systems primarily powered by innovative floating reactors. These reactors exhibit high potential, particularly for supplying power to remote areas beyond the reach of traditional power grids. In this study, a novel artificial intelligence (AI) system is introduced to optimize the management of floating reactors in remote, distributed environments, where the reactors must move between different sites and energize their local grids. This research marks the first application of AI in providing management decisions for those reactor types in such distributed assembled environments. Specifically, an intelligent management system has been developed to coordinate the reactor’s operations across various sites. The proposed system leverages fuzzy logic tools, which enable it to account for multiple uncertain factors when making management decisions. The system’s performance is tested through simulated scenarios and benchmarked against a round-robin fixed time method. The results demonstrate the system’s efficiency in delivering both economic and operational benefits.