Intelligent distribution network fault diagnosis and rapid self-healing system assisted by digital twin
数字孪生辅助下的智能配电网故障诊断及快速自愈系统

摘要

数字孪生技术为智能配电网故障诊断及快速自愈提供了新的解决方案。通过构建物理电网系统的数字化镜像，实现对电网运行状态的实时监控和分析，从而提高故障诊断的准确性与响应速度。本文探讨了如何利用数字孪生技术优化配电网的故障检测、定位与恢复流程，以减少停电时间并提升供电可靠性。该系统能够显著提高配电网的故障处理效率，增强电网的安全性和稳定性。本研究为智能电网的发展提供了理论基础和技术支持。

Abstract

Digital twin technology provides a new solution for the fault diagnosis and rapid self-healing of intelligent distribution networks. By constructing a digital mirror image of the physical power grid system, real-time monitoring and analysis of the power grid operation status can be achieved, thus improving the accuracy and response speed of fault diagnosis. This paper explores how to use digital twin technology to optimize the fault detection, location, and restoration processes of the distribution network, in order to reduce power outage time and enhance power supply reliability. This system can significantly improve the efficiency of fault handling in the distribution network and enhance the safety and stability of the power grid. This research provides a theoretical basis and technical support for the development of smart grids.