电力系统振荡模式识别的特征系统实现方法

Power System Osciliation Modes Identification Based on Eigensystem Realazation Alogorithm

在广域测量系统应用背景下,基于电力系统实测轨线分析其动态行为是一个重要研究方向,它不同于以往基于给定数学模型的各种分析方法。文中介绍了特征系统实现算法基本原理,基于该算法提出从相量测量装置的实测数据中提取电力系统机电模式特征值、相关因子和模态振型。通过对一个4机2区域电力系统的实例分析,证明所提方法在辨识精度、抗噪性方面比以往Prony算法和FFT算法优越,并且该方法可以得到系统的最小实现,为进一步设计阻尼控制器提供条件。

Because of the application of wide-area measurement system （WAMS）, the analysis of dynamic behavior of power system based on swing tracks acts as an important research field and is different from the past methods based on a certain mathematical models. The basic principle of eigensystem realization algorithm is introduced in this paper, based on the algorithm a novel modes identification method for power system is developed, which can extract eigenvalue of electro mechanical model and relevant factor from data measured by pharos measurement units （PMU）. Through a example of a four-machine system, it is proved that the methodology have more advantages over Prony and FFT algorithm in identification precision and anti-noise property, and the methods can achieve the simplest state space modal of system. It is important for designer to invent advanced damping controller.