Detecting and Analyzing Power System Disturbances in PMU Data with the Open-Source Archive Walker Tool

被引：5
|
作者：
Follum, Jim [1 ]
Etingov, Pavel [1 ]
Tuffner, Francis [1 ]
Wang, Heng [1 ]
Agrawal, Urmila [1 ]
Kosterev, Dmitry [2 ]
Yang, Steve [2 ]
Faris, Anthony [2 ]
机构：
[1] Pacific Northwest Natl Lab, Richland, WA 99352 USA
[2] Bonneville Power Adm, Portland, OR USA
来源：
2020 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION (T&D) | 2020年
关键词：
component; formatting; style; styling; insert; COHERENCE METHOD;
D O I：
10.1109/td39804.2020.9299888
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
As the number of Phasor Measurement Units (PMUs) deployed in power systems increases, so do the archives of synchrophasor measurements stored by utilities. Significant value can be extracted from these archives by using them to support studies such as frequency response analysis, small-signal stability analysis, and power plant model validation. To better enable utilities to perform these studies, the open-source Archive Walker tool was developed. This tool examines PMU data for grid disturbances and periods of interest. Once identified, the data can be further analyzed inside Archive Walker or exported to specialty tools. In this paper, the various disturbance detectors available in Archive Walker are described, and its interactions with other openly-available tools are highlighted.
引用
收藏
页数：5
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