Research on the Real-time Monitoring of the Transient Stability of the Power System Based on the Internet of Things
Due to the vast amount of information in power systems,it is difficult to completely transmit transient stability data,leading to inaccurate monitoring results.This study adopts the Internet of Things(IoT)technology to collect key parameters through sensors and transmit them to a data management unit.Multi-granularity scanning mining is utilized to extract transient stability features and construct discriminant indicators,enabling real-time monitoring of the power system.Simulation tests have shown that the coincidence rate of this method with actual results is as high as 98.7%,which can accurately capture transient changes in the power system and provide reliable guarantees for safe operation.
Internet of Things(IoT)power systemtransientstabilityreal-time monitoringgranularity
NETL
NSTL
万方数据
