DocumentCode :
178786
Title :
Power system line outage detection and identification — A quickest change detection approach
Author :
Banerjee, Taposh ; Chen, Yu Christine ; Dominguez-Garcia, Alejandro D. ; Veeravalli, Venugopal V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
3450
Lastpage :
3454
Abstract :
A method to detect and isolate power system transmission line outages in near real-time is proposed. In particular, a linearized power system model is presented and a statistical model for line outage detection and isolation is developed using this model. To detect and isolate the line outage quickly, algorithms based on statistical quickest change detection are employed.
Keywords :
power transmission lines; statistical analysis; linearized power system model; power system transmission line outage detection method; power system transmission line outage isolation method; statistical model; statistical quickest change detection approach; Computational modeling; Mathematical model; Network topology; Phasor measurement units; Power transmission lines; Voltage measurement; CuSum; Power systems; line outage detection and identification; quickest change detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854241
Filename :
6854241
Link To Document :
بازگشت