中文摘要：

弱阻尼低频振荡特性是保证系统安全稳定运行的重要基础。提出采用Ibrahim时域法（Ibrahim time domain,ITD）和随机减量法相结合的方法处理广域测量信号,实现电力系统振荡特性的系统化分析。在介绍方法基本原理的基础上,通过不同类型南方电网实测信号功率谱特征比较,建立类噪声信号基本概念,进而以36节点系统仿真信号和南方电网实测信号为例,应用上述方法提取典型信号中所包含的系统动态特征信息,实现电网低频振荡特征参数识别,为基于广域测量信号,全面、及时、准确地掌握互联电力系统动态特性奠定坚实基础。

英文摘要：

Timely and accurate information of weakly-damped low-frequency oscillation characteristics is important to the stable operation of system. Ibrahim Time Domain（ ITD） and random decrement method were proposed to processing wide area measurement signal and systematically study the oscillation characteristics of power system. Based on the basic principle introduction of this method,the power spectral properties of different types of signals measured in China Southern Power Grid（ CSG） were compared,and the definition of ambient signal was presented. Then this approach was applied to the simulation data from the 36-node system and the measured data in CSG,in order to grasp the dynamic characteristics of the interconnected power grid from typical signals,realize the characteristic parameters identification of low-frequency oscillation in power system, which could lay a solid foundation for the timely and accurate grasp of the dynamic characteristics of interconnected power system based on wide area measurement signal.