DocumentCode :
3589155
Title :
Auto detection of power system events using wide area frequency measurements
Author :
Gajjar, Gopal ; Soman, S.A.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Bombay, Mumbai, India
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
The wide area frequency measurement system has been installed at several locations in power system. There are plans to install phasor measurements units (PMU) at almost all high voltage substations. The volume of data obtained from such systems is very large. While most of the time the power system is in ambient condition, however there are always several events per day occurring in the system. This paper presents a method to automatically detect such events from wide area frequency measurement data. The PMUs measure bus voltage frequency communicate them to a central location in real time at rate of one sample per power system cycle. These measurements are be fed to the auto event detection algorithm. The method of detection of event occurrence identification, event classification and exact instance of event occurrence identification is presented. The issues encountered in implementing such scheme is discussed in the paper.
Keywords :
electric sensing devices; frequency measurement; phasor measurement; power measurement; voltage measurement; PMU; bus voltage frequency measurement; event classification; event occurrence identification; high voltage substation; phasor measurements unit; power system auto event detection algorithm; wide area frequency measurement system; Ellipsoids; Event detection; Oscillators; Power systems; Time-frequency analysis; Transmission line measurements; Auto Event Detection; Chi Square Distribution; Kalman Filter; Power Swings; Principal Component Analysis; WAMS applications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference (NPSC), 2014 Eighteenth National
Type :
conf
DOI :
10.1109/NPSC.2014.7103879
Filename :
7103879
Link To Document :
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