Research on Fault Detection and Self-healing Technology in Smart Grid

With the rapid development of smart grid technology, the stability and reliability of power system become more and more important. This study focuses on fault detection and self-healing technology in smart grid, aiming at improving the security and self-healing ability of power grid through advanced technical means. Firstly, this paper proposesa new fault detection method, which combines wavelet transform and machine learning technology to realize accurate and rapid identification of potential faults. Secondly, aiming at the self-healing technology, this paper designs a self-healing strategy based on multi-agent system, which can monitor the state of power grid in real time and automatically trigger selfhealing actions to restore the normal operation of power grid. The experimental results show that theproposed fault detection method has high sensitivity and accuracy, and the self-healing strategy can effectively ensure the stability of power supply in non-fault areas. This study not only provides a new technical path for fault detection and self-healing of smart grid, but also provides strong support for the safe and stable operation of power system, which has significant theoretical value and practical significance.