Journal of Engineering Research

Digital twin technology provides a new solution for the fault diagnosis and self-healing of smart distribution networks. This paper explores the methods for achieving rapid fault location, diagnosis, and automatic recovery of smart distribution networks based on digital twin technology. By constructing a high-precision digital twin model, real-time monitoring and analysis of the operation status of the distribution network are realized. The research shows that this method not only improves the accuracy and efficiency of fault diagnosis but also enhances the self-healing ability of the power grid, which is of great significance for improving the reliability and stability of power supply. The experimental results show that under various fault conditions, the smart distribution network applying digital twin technology can significantly reduce the power outage time and accelerate the fault repair speed.

Digital twin technology; Smart distribution network; Fault diagnosis; Self-healing