摘要
提出了一种基于大数据通信的高压直流输电系统稳定性评估方法。该方法通过分布式数据采集网络、特征融合与机器学习模型,提升了系统的实时监控与故障预测能力。实验表明,该方法在不同工况下均表现出高准确性和低延迟,故障预警提前时间达到了毫秒级。该评估方法为高压直流输电系统的安全稳定运行提供了有效支持,具备广阔的工程应用前景。
Propose a stability assessment method for high-voltage direct current power transmission systems based on big data communication.The method enhances the system’s real-time monitoring and fault prediction capabilities through a distributed data acquisition network,feature fusion,and machine learning models.Experiments have shown that the method exhibits high accuracy and low latency under various operating conditions,with fault warning lead times reaching the millisecond level.This assessment method provides effective support for the safe and stable operation of high-voltage direct current power transmission systems and has a broad prospect for engineering applications.
作者
王朝珲
王思橦
WANG Zhaohui;WANG Sitong(State Grid Shaanxi Electric Power Co.,Ltd.,Ultra High Voltage Company,Xi’an 710038,China)
出处
《通信电源技术》
2024年第23期34-36,共3页
Telecom Power Technology
关键词
高压直流输电
大数据通信
稳定性评估
high-voltage direct current
big data communication
stability assessment
