基于生成对抗网络的变电站一次设备运行故障检测研究

Research on Operation Fault Detection of Primary Equipment in Substations Based on GAN

变电站一次设备对于电力系统的稳定运行具有决定性的作用。为了提高故障检测的实时性和准确性,集中探讨了生成对抗网络(GAN)在变电站一次设备故障检测中的应用,并提出了一种结合无线传感器网络(WSN)的智能检测系统。该系统利用GAN获取正常模式的鉴别器,进而实现故障检测。同时,通过与WSN的结合,优化了数据采集过程,确保了数据的高效传输和处理。所提系统的实施提高了故障检测的效率和准确度,为电力系统的可靠性和安全性提供了坚实的技术支持。

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.