Quickest Line Outage Detection and Identification

• Published in: IEEE transactions on power systems Vol. 31; no. 1; pp. 749 - 758
• Main Authors: Chen, Yu Christine, Banerjee, Taposh, Dominguez-Garcia, Alejandro D., Veeravalli, Venugopal V.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: CUSUM algorithm; Electric potential; Electric power generation; High speed; line outage detection and identification; Mathematical model; Monitoring; Network topology; Outages; Phase measurement; Phasor measurement units; Phasors; Power systems; quickest change detection; Transmission line measurements; Transmission lines; Voltage; Voltage measurement
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/TPWRS.2015.2394246

A method is proposed to detect and identify power system transmission line outages in near real-time. The method exploits the statistical properties of the small random fluctuations in electricity generation and demand that a power system is subject to as time evolves. To detect and identify transmission line outages, a linearized incremental small-signal power system model is used in conjunction with high-speed synchronized voltage phase angle measurements obtained from phasor measurement units. By monitoring the statistical properties of voltage phase angle time-series, line outages are detected and identified using techniques borrowed from the theory of quickest change detection. As illustrated through case studies, the proposed method is effective in detecting and identifying single- and double-line outages in an accurate and timely fashion.