Research on Operation Fault Detection of Primary Equipment in Substations Based on GAN
The primary equipment in substations plays a decisive role in the stable operation of power systems.To enhance the real-time and accuracy of fault detection,this paper focuses on exploring the application of generative adversarial network(GAN)in the fault detection of substation primary equipment and proposes an intelligent detection system combined with wireless sensor network(WSN).The system utilizes the discriminator of GAN to acquire normal operation patterns,thereby achieving fault detection.Furthermore,by integrating with WSN,the data collection process is optimized to ensure efficient data transmission and processing.The implementation of the proposed system has improved the efficiency and accuracy of fault detection,providing solid technical support for the reliability and safety of the power system.
万方数据
维普
