Fault diagnosis and self-healing method of smart distribution network based on digital twin technology
基于数字孪生技术的智能配电网故障诊断与自愈方法

摘要

数字孪生技术为智能配电网的故障诊断与自愈提供了新的解决方案。本文探讨了基于数字孪生技术实现智能配电网故障快速定位、诊断及自动恢复的方法，通过构建高精度的数字孪生模型，实现了对配电网运行状态的实时监控与分析。研究表明，该方法不仅提高了故障诊断的准确性和效率，还增强了电网的自愈能力，对于提高供电可靠性和稳定性具有重要意义。实验结果表明，在多种故障条件下，应用数字孪生技术的智能配电网能够显著减少停电时间并加快故障修复速度。

Abstract

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.