Title :
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
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;
Conference_Titel :
Power Electronics and Machines in Wind Applications (PEMWA), 2012 IEEE
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4673-1128-1
DOI :
10.1109/PEMWA.2012.6316400
