Journal of Electrical Engineering and Automation

This thesis aims to study the methods of fault detection and automatic switching in power systems based on intelligent relay protection technology to enhance the reliability and stability of power systems. Addressing common faults in power systems, this research utilizes intelligent algorithms such as artificial neural networks and support vector machines in conjunction with real-time data analysis to achieve more precise fault detection and automatic switching strategies. The scope of study encompasses aspects of power system operational status, fault situations, and switching decisions. Through innovative exploration of intelligent relay protection technology, significant achievements have been obtained in this research. The application of intelligent algorithms excels in the domain of fault detection, rapidly and accurately identifying fault types and locations, providing vital guidance for subsequent fault handling. Optimization of automatic switching strategies also enhances the systems capability to respond to faults promptly, reducing the impact of faults on the system. This research on fault detection and automatic switching in power systems based on intelligent relay protection technology introduces new methods and perspectives to ensure the stable operation and reliable supply of power systems. By leveraging the advantages of intelligent algorithms, we are better equipped to address power system fault issues, enhance its resistance to interference, and improve its self-recovery ability, thereby ensuring the consistent stability of power systems.

Intelligent relay protection technology; Power systems; Fault detection; Automatic switching; Reliability