Event detection method for the PMUs synchrophasor data

Author

Sohn, Sang-Wook ; Allen, Alicia J. ; Kulkarni, Saurabh ; Grady, W. Mack ; Santoso, Surya

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA

fYear

2012

fDate

16-18 July 2012

Firstpage

1

Lastpage

7

Abstract

The objective of the paper is to present an innovative method for event detection. The data is collected using a PMU network installed to provide wide-area monitoring and analysis of Texas´ bulk power system. Grid events are detected using a combination of simple statstical algorithms, singular point detection with residual modeling, short time Fourier transform and linear regression. The performance of the proposed method is shown through the results of analysis on two types of actual events.

Keywords

Fourier transforms; phasor measurement; regression analysis; PMU network; PMU synchrophasor data; Texa bulk power system analysis; grid event detection method; linear regression; residual modeling; short time Fourier transform; singular point detection; statstical algorithms; wide-area monitoring; Correlation; Event detection; Indexes; Phase frequency detector; Phasor measurement units; Signal processing algorithms; Time frequency analysis; Linear Regression; Power System Monitoring; STFT; Singular Point Detection; Wide-Area Measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Machines in Wind Applications (PEMWA), 2012 IEEE

Conference_Location

Denver, CO

Print_ISBN

978-1-4673-1128-1

Type

conf

DOI

10.1109/PEMWA.2012.6316400

Filename

6316400