Event Detection Using Correlation within Arrays of Streaming PMU Data

被引：0

作者：

Meier, Rich ^{[1
]}

McCamish, Ben ^{[1
]}

Cotilla-Sanchez, Eduardo ^{[1
]}

Landford, Jordan ^{[2
]}

Bass, Robert B. ^{[2
]}

Chiu, David ^{[3
]}

机构：

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

[2] Portland State Univ, Portland, OR 97207 USA

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

来源：

2018 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) | 2018年

关键词：

phasor measurement unit; PMU; correlation; electrical distance; event detection; VOLTAGE CONTROL;

D O I：

暂无

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：

Phasor measurement units provide real-time power system monitoring. We present a data analysis method that leverages statistical correlation and analysis methods to identify power system events. This research uses archived phasor measurement unit data to show that the method is useful for detecting power system events. Results from a lighting strike case study are presented. A monitoring stratagem based on PMU clustering is discussed, and the viability of monitoring pertinent statistical parameters over various clustering schemes is demonstrated.

引用

页数：5

共 15 条

[1]

[Anonymous], 2016, IEEE ANN IND C INDIC

[2] PMU Based State Estimation by Integrating Correlation [J].