基于类噪声数据的电力系统低频振荡模式辨识方法及应用  

Ambient Data Based Identification Method for the Low frequency Oscillation Modes of Power System and Its Utilization

作　　者：柳勇军 时伯年[2] 

机构地区：[1]南方电网科学研究院,广州510080 [2]北京四方继保自动化股份有限公司,北京100085

出　　处：《南方电网技术》2013年第5期74-77,共4页Southern Power System Technology

摘　　要：低频振荡的监测对于电力系统的安全稳定运行是一个巨大的挑战。提出了基于类噪声数据的低频振荡模式在线辨识方法,该方法将类噪声PMU数据经过预处理后,以ARMA方法计算得到单测点低频振荡模式信息,然后通过聚类方法得到系统振荡模式信息。结合实际发生的一次低频振荡事故,通过比较扰动前和扰动过程中低频振荡模式差异判断振荡类型,并通过势能增量分布法予以验证。The low frequency oscillation monitoring of power system is a huge challenge to its safe and stable operation. This paper presents an ambient data based identification method for the low frequency oscilation of power system. Preprocessing the PMU （ ambi-ent phasor measurement unit ） data from multiple PMU sites, the method can obtain the low frequency oscillation information at vari- ous PMU sites with ARMA （autoregressive moving average） calculation, and then derive the low frequency oscillation information modes of the power system with a clustering method. With an actual oscillation event in CSG （China Southern Power Grid）, the os-cillation type of the event is judged by comparing the estimated damping ratio before and during destabilization period, and verified by potential energy increment distribution method.

关 键 词：低频振荡 类噪声数据 振荡模式 辨识 强迫振荡 

分 类 号：TM712[电气工程—电力系统及自动化]