Power System Data Management and Analysis Using Synchrophasor Data

被引：0

作者：

Meier, Rich ^{[1
]}

Cotilla-Sanchez, Eduardo ^{[1
]}

McCamish, Ben ^{[2
]}

Chiu, David ^{[3
]}

Histand, Miles ^{[4
]}

Landford, Jordan ^{[4
]}

Bass, Robert B. ^{[4
]}

机构：

[1] Oregon State Univ, Corvallis, OR 97331 USA

[2] Washington State Univ, Vancouver, WA 98686 USA

[3] Univ Puget Sound, Tacoma, WA 98416 USA

[4] Portland State Univ, Portland, OR 97201 USA

来源：

2014 IEEE CONFERENCE ON TECHNOLOGIES FOR SUSTAINABILITY (SUSTECH) | 2014年

关键词：

Synchrophasor; Correlation; Big Data; Protection; Smart Grid; PMU;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper provides a synchrophasor data analysis methodology that leverages statistical correlation techniques in order to identify data inconsistencies, as well as power system contingencies. Included in this analysis are the techniques for data management that are used to process the high-granularity and high-cardinality data gathered from synchrophasor sensors - also know as Phasor Measurement Units (PMUs). This research utilizes real, archived PMU data obtained from the Western Electric Coordinating Council (WECC) in order to show that this methodology is not only feasible, but extremely useful for power systems monitoring, decision support, and planning purposes. The results presented indicate preliminary identification of PMU data issues, as well as power system instabilities.

引用

页数：7

共 11 条

[1]

ASHTON PM, 2013, POWER SYSTEMS IEEE T, V28, P1930, DOI DOI 10.1109/TPWRS.2013.2248027

[2] Performance of Synchrophasor Estimators in Transient Conditions: A Comparative Analysis [J].