基于物联网的电力系统暂态稳定性实时监控研究  

Research on the Real-time Monitoring of the Transient Stability of the Power System Based on the Internet of Things

作　　者：伍芳 Wu Fang(Changzhou Haineng Electric Appliance Co.,Ltd.,Changzhou,Jiangsu,China,213002)

机构地区：[1]常州海能电器有限公司,江苏常州213002

出　　处：《仪器仪表用户》2024年第11期3-5,共3页Instrumentation

摘　　要：电力系统信息量巨大,完整传输暂态稳定性数据困难,导致监控结果不精确。本研究采用物联网技术,通过传感器采集关键参数并传输至数据管理单元。利用多颗粒度扫描挖掘,提取暂态稳定性特征并构建判别指标,实现电力系统的实时监控。仿真测试显示,该方法与实际结果重合率高达98.7%,能精确捕捉电力系统暂态变化,为安全运行提供可靠保障。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.

关 键 词：物联网 电力系统 暂态 稳定性 实时监控 颗粒度 

分 类 号：TM712[电气工程—电力系统及自动化]