This paper presents an online event location estimating process in a wide-area power system using the phasor measurement unit (PMU). For real-world applications of PMU-based event location estimation (ELE), it is necessary to consider the insufficiency of PMU data caused by a lack of PMUs, communication failure, PMU malfunction, etc., because insufficient PMU data cannot guarantee event observability over the entire network. To ensure possible event locations in a real-world system, an estimation method is developed by combining offline zonal analysis and an online ELE algorithm. The K-mean clustering method is utilized for electrical-bus clustering, which enables us to recognize separate electrical zones (EZs). Then, we propose a two-stage ELE algorithm by estimating the event EZ and localizing the specified event section within the estimated EZ. Proposed ELE algorithm is applied to a real-world PMU data collected from southwestern part of the United States. Finally, successful results from a real-world PMU data application are presented at the end of this paper.
Bibliographical noteFunding Information:
Manuscript received April 18, 2017; revised September 3, 2017 and February 8, 2018; accepted March 24, 2018. Date of publication April 9, 2018; date of current version October 18, 2018. This work was supported in part by the National Research Foundation of Korea (NRF) under Grant 2017K1A4A3013579 and in part by NRF under Grant NRF-2017R1A2A1A05001022 funded by the Ministry of Science, ICT & Future Planning. Paper no.-TPWRS-00558-2017.R2. (Corresponding author: Yong-June Shin.) D.-I. Kim and Y.-J. Shin are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail:,penpony109@ gmail.com; email@example.com).
© 1969-2012 IEEE.
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering