Abstract Wide-area power system monitoring based on phasor measurement units allows collecting a set of physical variables for evaluating the system security and stability, as well as for detecting power system disturbances. However, trends, noise and non-Gaussian distribution in measurements are important challenges for carrying out the detection, localization and visualization of power system disturbances. In this paper, a methodology that combines independent component analysis with statistical indices for detecting and visualizing anomalous dynamic events from wide-area measurements is proposed. From the statistical indices, two charts are also proposed to provide a better understanding of the system disturbances. Finally, a set of simulated data obtained from a transient stability model of the New England/New York test system is used to demonstrate the effectiveness of the proposed technique.

中文翻译：

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电力系统扰动大范围监测的独立分量分析方法

摘要 基于相量测量单元的广域电力系统监测允许收集一组物理变量，用于评估系统安全性和稳定性，以及检测电力系统扰动。然而，测量中的趋势、噪声和非高斯分布是执行电力系统扰动检测、定位和可视化的重要挑战。在本文中，提出了一种将独立分量分析与统计指标相结合的方法，用于检测和可视化来自广域测量的异常动态事件。根据统计指标，还提出了两个图表，以更好地了解系统扰动。最后，