Fault Warning Technology of Comprehensive Energy System Based on Digital Twins

Abstract

The traditional energy industry has many problems, such as huge losses and non-renewability. With the development of informatization and digitalization, integrated smart energy systems have become a current research hotspot. At present, the research on integrated smart energy is still in the theoretical stage, and the fault warning part for integrated smart energy is still very scarce. Therefore, this article proposes a comprehensive energy failure warning technology based on digital twins. Firstly, the comprehensive energy system based on digital twins is divided into five layers, and the SOM algorithm is used to analyze the system’s status data for fault warning. Finally, the superiority of the proposed method was verified through experiments.