Research on the Digital Model of Substation Inspection System Based on Digital Twin Technology

This research paper explores the application of digital twin technology in the development of a substation inspection system. The study aims to enhance the efficiency, accuracy, and effectiveness of substation inspection and maintenance processes by leveraging real-time data, advanced analytics, and simulation capabilities offered by digital twin technology. Validation and testing procedures are carried out to evaluate the performance of the digital twin-based system. Five case studies are conducted to assess the system's performance in substation inspection, maintenance, fault detection, and diagnosis. The results demonstrate the superiority of the digital twin-based system in terms of accuracy, efficiency, cost-effectiveness, and maintenance time reduction. A comparison with traditional approaches highlights the limitations of these methods and emphasizes the benefits of the digital twin-based system. The research provides valuable insights for industry professionals, researchers, and policymakers seeking to adopt and implement digital twin technology in the power sector. The findings contribute to advancing substation inspection and maintenance practices and showcase the potential of digital twin technology in optimizing substation performance and reliability.